Machine Learning and Instrument Autonomy Group

Publications


2021
Paper Icon Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake Lee, and Lukas Mandrake. Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence, 2021. (Link to PDF) (CL#20-6521) IAAI Deployed Application Award

Paper Icon Kiri L. Wagstaff, Raymond Francis, Matthew Golombek, Steven Lu, Ellen Riloff, Leslie Tamppari, and Thomas C. Stein. The Mars Target Encyclopedia Now Includes Mars Pathfinder and Mars Phoenix Targets. 52nd Lunar and Planetary Science Conference, Abstract #1278, 2021. (Link to publisher's site) (CL#20-6537)

Paper Icon Steven Lu, Brandon Zhao, Kiri L. Wagstaff, Shoshanna B. Cole, and Kevin Grimes. Content-Based Classification of Mars Exploration Rover Pancam Images. 52nd Lunar and Planetary Science Conference, Abstract #1779, 2021. (Link to publisher's site) (CL#21-0100)

Paper Icon Hannah R. Kerner, Kiri L. Wagstaff, Steven Lu, Raymond Francis, and Shakshum Kulshrestha. Novelty-Driven Onboard Target Selection in Grayscale and Color Mars Rover Images. 52nd Lunar and Planetary Science Conference, Abstract #2618, 2021. (Link to publisher's site)

Paper Icon David E. Stillman, Katie M. Primm, Brian Bue, Kiri L. Wagstaff, Jake H. Lee, and Adnan Ansar. RSL Geostatistics Show Slopes Above the Angle of Repose and Significant Enhancement After Mars Year 34 Dust Storm. 52nd Lunar and Planetary Science Conference, Abstract #1578, 2021. (Link to publisher's site)

Paper Icon Annabelle Gao, Ingrid J. Daubar, Daniel Wexler, Kiri L. Wagstaff, Valentin Bickel, and Gary Doran. Using Machine Learning to Complement New Martian Crater Inventories. 52nd Lunar and Planetary Science Conference, Abstract #1674, 2021. (Link to publisher's site)

Peyman Tavallali, Steve Chien, Lukas Mandrake, Yuliya Marchetti, Hui Su, Longtao Wu, Benjamin Smith, Andrew Branch, James Mason, and Jason Swope. Adaptive, Model-driven Observation for Earth Science. 101st American Meteorological Society Annual Meeting, 2021.


2020
Paper Icon Kiri L. Wagstaff, Raymond Francis, Hannah Kerner, Steven Lu, Favour Nerrise, James F. Bell III, Gary Doran, and Umaa Rebbapragada. Novelty-Driven Onboard Targeting for Mars Rovers. Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, 2020. (Link to publisher's site) (CL#20-5333)

Paper Icon Ameya Daigavane, Kiri Wagstaff, Gary Doran, Corey Cochrane, Caitriona Jackman, and Abigail Rymer. Detection of Environment Transitions in Time Series Data for Responsive Science. 6th KDD Workshop on Mining and Learning for Time Series, 2020. (Link to PDF) (CL#20-3613)

Paper Icon Michael J. Munje, Ingrid J. Daubar, Gary Doran, Kiri Wagstaff, and Lukas Mandrake. Large-Scale Automated Detection of Fresh Impacts on Mars Using Machine Learning with CTX Observations. 11th Planetary Crater Consortium, Abstract #2065, 2020. (Link to PDF) (CL#20-2315)

Paper Icon Kiri Wagstaff and Steven Lu. Efficient Active Learning in New Domains. ICML Workshop on Real World Experiment Design and Active Learning, 2020. (Link to PDF) (CL#20-2925)

Paper Icon Gary Doran, Kiri L. Wagstaff, Jonathan Bapst, Ashley G. Davies, and Saadat Anwar. Assessing the Susceptibility of Europa Clipper Onboard Thermal Anomaly Detection to Radiation. 51st Lunar and Planetary Science Conference, Abstract #2193, 2020. (Link to PDF) (CL#20-1324)

Paper Icon Jake H. Lee and Kiri L. Wagstaff. Visualizing Image Content to Explain Novel Image Discovery. Data Mining and Knowledge Discovery, 34(6), p. 1777-1804, 2020. (Link to publisher's site) (CL#20-2863) See also: Paper website for code, data, etc.

Paper Icon Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue, Danika F. Wellington, Samantha Jacob, Paul Horton, James F. Bell III, Chiman Kwan, and Heni Ben Amor. Comparison of Novelty Detection Methods for Multispectral Images in Rover-based Planetary Exploration Missions. Data Mining and Knowledge Discovery, vol. 34(6), p. 1652-1675, 2020. (Link to publisher's site)

Paper Icon Gary Doran, Steven Lu, Maria Liukis, Lukas Mandrake, Umaa Rebbapragada, Kiri L. Wagstaff, Jimmie Young, Erik Langert, Anneliese Braunegg, Paul Horton, Daniel Jeong, and Asher Trockman. COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change. Proceedings of the IEEE Aerospace Conference, 2020. (Link to publisher's site) (CL#19-8223)

Paper Icon Masahiro Ono, Gary Doran, Erik Langert, Kiri Wagstaff, David Inkyu Kim, Aaron Gaut, Tara Estlin, Abhi Jain, Marissa Cameron, David Muliere, Erik Roberts, Kristopher Kriechbaum, and Glenn Reeves. ARIEL: Autonomous Excavation Site Selection for Europa Lander Mission Concept. Proceedings of the IEEE Aerospace Conference, 2020. (Link to publisher's site)

Paper Icon David E. Stillman, Brian D. Bue, Kiri L. Wagstaff, Katherine M. Primm, Tim I. Michaels, and Robert E. Grimm. Evaluation of wet and dry Recurring Slope Lineae (RSL) formation mechanisms based on quantitative mapping of RSL in Garni Crater, Valles Marineris, Mars. Icarus, vol. 335, 2020. (Link to publisher's site)

Mauceri, S., Richard, E., Pilewskie, P. et al.. Degradation correction of TSIS SIM. Solar Physics, 2020.

Michael C. Stanley, Steffen Mauceri, Helene L Seroussi, Peyman Tavallali, Hamed Hamze Bajgiran, and Houman Owhadi. Uncertainty estimation of basal friction using a game theoretical approach. AGU Fall Meeting 2020.

Mauceri, S., Pilewskie, P., Woods, T., Béland, S., & Richard, E.. Intercomparing solar spectral irradiance from SORCE SIM. Earth and Space Science, 7, e2019EA001002, 2020.

Hui Su, Longtao Wu, Jonathan H Jiang, Raksha Pai, Alex Liu, Albert J Zhai, Peyman Tavallali, and Mark DeMaria. Applying satellite observations of tropical cyclone internal structures to rapid intensification forecast with machine learning. Geophysical Research Letters, 2020.


2019
Paper Icon Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue, Patrick C. Gray, James F. Bell III, and Heni Ben Amor. Toward Generalized Change Detection on Planetary Surfaces with Convolutional Autoencoders and Transfer Learning. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, issue 10, p. 3900-3918, 2019. (Link to publisher's site)

Paper Icon Kiri Wagstaff, Gary Doran, Ashley Davies, Saadat Anwar, Srija Chakraborty, Marissa Cameron, Ingrid Daubar, and Cynthia Phillips. Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft. Proceedings of the 25th International Conference on Knowledge Discovery and Data Mining (KDD), p. 2191-2201, 2019. (Link to PDF) (CL#19-2720)

Paper Icon Gary Doran, Kiri L. Wagstaff, Marissa Cameron, Ingrid Daubar, and Cynthia Phillips. Automatic Plume Detection for the Europa Imaging System. Fourth Planetary Data Workshop, Abstract #7026, 2019. (Link to PDF) (CL#19-1858)

Paper Icon Steven Lu, Kiri L. Wagstaff, Jesse Cai, Gary Doran, Kevin Grimes, Jake Lee, Lukas Mandrake, and Yisong Yue. Improved Content-Based Image Classifiers for the PDS Image Atlas. Fourth Planetary Data Workshop, Abstract #7028, 2019. (Link to PDF) (CL#19-1913)

Paper Icon Kiri L. Wagstaff, Diana L. Blaney, Srija Chakraborty, Steve A. Chien, Ashley G. Davies, Serina Diniega, and Gary Doran. Spectral Anomaly Detection for the Mapping Imaging Spectrometer for Europa (MISE). 50th Lunar and Planetary Science Conference, Abstract #1604, 2019. (Link to PDF) (CL#18-7593)

Thomas C. Stein, Raymond E. Arvidson, Scott J. Van Bommel, Kiri L. Wagstaff, and F. Zhou. MSL Analyst's Notebook: Curiosity APXS Concentration Data Integration and Mars Target Encyclopedia and Interface Updates. 50th Lunar and Planetary Science Conference, Abstract #1820, 2019.

Paper Icon Hannah R. Kerner, Danika F. Wellington, Kiri L. Wagstaff, James F. Bell, and Heni Ben Amor. Novelty Detection for Multispectral Images with Application to Planetary Exploration. Proceedings of the Thirty-First Annual Conference on Innovative Applications of Artificial Intelligence, 2019. (Link to PDF) (CL#18-6943)

Mauceri, S., Kindel, B., Massie S. et al.. Neural Network for Aerosol retrieval from Hyperspectral Imagery. Atmos. Meas. Tech. Discuss., 2019.

Mauceri, S., Coddington, O., Lyles, D. et al.. Neural Network for Solar Irradiance Modeling (NN-SIM). Solar Physics 294, 160, 2019.


2018
Paper Icon Gary Doran, Ashley G. Davies, Kiri L. Wagstaff, Saadat Anwar, Diana L. Blaney, Steve Chien, Phil Christensen, and Serina Diniega. Onboard Detection of Thermal Anomalies for Europa Clipper. Proceedings of the European Planetary Science Congress, 2018. (Link to PDF) (CL#18-4314)

Paper Icon Kiri L. Wagstaff and Jake Lee. Interpretable Discovery in Large Image Data Sets. Proceedings of the Workshop on Human Interpretability in Machine Learning (WHI), 2018. (Link to PDF) (CL#18-3125) See also: Paper website for code, data, etc.

Paper Icon Kiri L. Wagstaff, Raymond Francis, Thamme Gowda, You Lu, Ellen Riloff, Karanjeet Singh, and Nina L. Lanza. Mars Target Encyclopedia: Rock and Soil Composition Extracted from the Literature. Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, 2018. (Link to PDF) (CL#17-6080)

Paper Icon Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, and Jordan Padams. Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas. Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, 2018. (Link to PDF) (CL#17-6072)

Mauceri, S., Pilewskie, P., Richard, E. et al.. Revision of the Sun’s Spectral Irradiance as measured by SORCE SIM. Solar Physics 293, 161, 2018.


2017
Paper Icon Kiri L. Wagstaff, Alphan Altinok, Steve Chien, Umaa Rebbapragada, Steve Schaffer, David R. Thompson, and Daniel Tran. Cloud Filtering and Novelty Detection using Onboard Machine Learning for the EO-1 Spacecraft. IJCAI 2017 Workshop on AI in the Oceans and Space. (Link to PDF) (CL#17-2844)

Paper Icon Gary Doran, Umaa Rebbapragada, Eugenie Song, Kiri L. Wagstaff, Daniel Gaines, Robert Anderson, Ashwin Vasavada. Scientist-Guided Autonomy for Self-Reliant Rovers. IJCAI 2017 Workshop on AI in the Oceans and Space. (Link to PDF) (CL#17-3749)

Paper Icon John R. Worden, Gary Doran, Susan Kulawik, Annmarie Eldering, David Crisp, Christian Frankenberg, Chris O'Dell, and Kevin Bowman. Evaluation and Attribution of OCO-2 XCO2 Uncertainties. Atmospheric Measurement Techniques, 2017. (Link to PDF) (CL#17-3711)

Paper Icon Steve Chien and Kiri L. Wagstaff. Robotic Space Exploration Agents. Science Robotics, 2(7), 2017. (Link to publisher's site) (CL#17-2089)

Paper Icon Lukas Mandrake. DOGO: What Data Do I Use? An Alternative to Quality Flags. Autonomy Operations Seminar, Div 39, 2017. (Link to pptx) (CL#17-0846)

Paper Icon Lukas Mandrake. Machine Learning & Autonomy: Extending Humanity to New Heights. NSTA DRD, 2017. (Link to pptx) (CL#17-0845)

Paper Icon Steve Chien, Joshua Doubleday, David R. Thompson, Kiri L. Wagstaff, John Bellardo, Craig Francis, Eric Baumgarten, Austin Williams, Edmund Yee, Eric Stanton, and Jordi Piug-Suari. Onboard Autonomy on the Intelligent Payload EXperiment CubeSat Mission. Journal of Aerospace Information Systems, 2017. (Link to publisher's site) (CL#16-0521)

Paper Icon Jack Lightholder, David Brown, and Steve Chien. Agile Science: A New Paradigm for Space Missions. Division 39 Autonomy Seminar. (Link to PDF slides) (CL#17-1392)


2016
Paper Icon Debra Wunch, Paul Wennberg, Gregory Osterman, Brendan Fisher, Naylor Bret, Coleen Roehl, Christopher O'Dell, Lukas Mandrake, Camille Viatte, David Griffith, Nicolar Michael Deutscher, Voltaire A. Velazco, Justuc Notholt, Thorsten Warneke, Christof Petri, Martine de Maziere, Mahesh Sha, Ralf Sussmann, Markus Rettinger, David Polld, John Robinson, Isamu Morino, Osamu Uchino, Frank Hase, Thomas Blumenstock, Mattaeus Kiel, Dietrich Feist, Sabrina G. Arnold, Kimberly Strong, Joseph Mendonca, Rigel Kivi, Pauli Heikkinen, Laura Iraci, James Podolske, Patrick W. Hillyard, Shuji Kawakami, Manvendra Dubey, Harrison A. Parker, Eliezer Sepulveda Hernandez, Omaira Garcia Rodriguez, Yao Te, Pascal Jeseck, Michael Gunson, David Crisp, Annmarie Eldering. Comparisons of the Orbitting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCON. Atmospheric Measurement Techniques Discussions, 2016. (Link to publisher's site) (CL#16-4308)

Paper Icon Debra Wunch, Geoffrey C. Toon, Jacob K. Hedelius, Nicholas Vizenor, Coleen M. Roehl, Katherine M. Saad, Jean-François L. Blavier, Donald R. Blake, and Paul O. Wennberg. Quantifying the loss of processed natural gas within California's South Coast Air Basin using long-term measurements of ethane and methane. Atmos. Chem. Phys., 2016. (Link to publisher's site) (CL#16-4307)

Paper Icon Thomas E. Taylor, Christopher W. O’Dell, Christian Frankenberg, Philip T. Partain, Heather Q. Cronk, Andrey Savtchenko, Robert R. Nelson, Emily J. Rosenthal, Albert Y. Chang, Brenden Fisher. Orbiting Carbon Observatory-2 (OCO-2) cloud screening algorithms: validation against collocated MODIS and CALIOP data. Atmospheric Measurement Techniques, 2016. (Link to publisher's site) (CL#16-4306)

Paper Icon Raymond Francis, Tara A Estlin, Kiri L Wagstaff, Gary Doran, Lukas Mandrake. Instrument Autonomy Techniques Enhance Science Return and Efficiency of Surface Missions. 3rd International Workshop on Instrumentation for Planetary Missions, 2016. (Link to publisher's site) (CL#16-4304)

Paper Icon Kiri L Wagstaff, Alphan Altinok, Brian Bue, Steve A Chien, Lukas Mandrake. Instrument Science Autonomy for Orbital and Flyby Planetary Missions. 3rd International Workshop on Instrumentation for Planetary Missions, 2016. (Link to publisher's site) (CL#16-4303)

Paper Icon Sarah Burke-Spolaor, Cathryn M. Trott, Walter F. Brisken, Adam T. Deller, Walid A. Majid, Divya Palaniswamy, David R. Thompson, Steven J. Tingay, Kiri L. Wagstaff, and Randall B. Wayth. Limits on Fast Radio Bursts from Four Years of the V-FASTR Experiment. The Astrophysical Journal, 826(2), 2016. (Link to publisher's site) (CL#16-4308)

Paper Icon Kiri L. Wagstaff, Benyang Tang, David R. Thompson, Shakeh Khudikyan, Jane Wyngaard, Adam T. Deller, Divya Palaniswamy, Steven J. Tingay, and Randall B. Wayth. A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA. Publications of the Astronomical Society of the Pacific, 128:966(084503), 2016. (Link to publisher's site) (CL#16-0942)

Paper Icon Gary Doran, David Thompson, and Tara Estlin. Precision Instrument Targeting via Image Registration for the Mars 2020 Rover. International Joint Conference on Artificial Intelligence (IJCAI), 2016. (Link to PDF) (CL#16-1757)

Paper Icon Michael Burl, David Thompson, Charles deGranville, Benjamin Bornstein. Rockster: Onboard Rock Segmentation Through Edge Regrouping. Journal of Aerospace Information Systems (JAIS), Publisher: AIAA. (Link to PDF) (CL#16-0091) (2016/03/31)

Paper Icon Lukas Mandrake. Data Ordering Genetic Optimization (DOGO) System. NASA Tech Briefs, 2016. (Link to PDF) (CL#15-2376)

Paper Icon Robert R. Nelson, Christopher W. O'Dell, Thomas E Taylor, Lukas Mandrake, and Mike Smith. The Potential of Clear-Sky Carbon Dioxide Satellite Retrievals. Atmospheric Measurement Techniques, 2016. (Link to PDF) (CL#15-5656)

Paper Icon Kiri L. Wagstaff, Ellen Riloff, Nina L. Lanza, Chris A. Mattmann, and Paul M. Ramirez. Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature. AAAI-16 Workshop on Workshop on Knowledge Extraction from Text. (Link to PDF) (CL#15-5656)


2015
Paper Icon Michael Burl, Russell Knight, Anthony Barrett. Visual Intelligence: Toward Machine Understanding of Video Content. Int. Conf. on Artificial Intelligence (ICAI). (Link to PDF) (CL#16-2033) (2015/07/28)

Paper Icon Lukas Mandrake. DOGO: Bringing Order to Chaos. NASA Software of the Year submission for JPL. (Link to PPTX) (CL#15-5454)

Paper Icon Thomas Fuchs, David R. Thompson, Brian Bue, Julie Castillo, Steve Chien, Dero Gharibian, and Kiri Wagstaff. Enhanced Flyby Science with Onboard Computer Vision: Tracking and Surface Feature Detection at Small Bodies. Earth and Space Science, 2015. (Link to publisher page) (CL#15-4985)

Paper Icon David R. Thompson, Alphan Altinok, Ben Bornstein, Steve A. Chien, Joshua Doubleday, John Bellardo, and Kiri L. Wagstaff. Onboard Machine Learning Classification of Images by a Cubesat in Earth Orbit. AI Matters, 2015. (Link to publisher page) (CL#15-2017)

Paper Icon Kiri L. Wagstaff, Gary B. Doran, Ravi Kiran, Lukas Mandrake, Norbert Schorghofer, and Alice Stanboli. Landmark Classification and Content-Based Search for Mars Orbital Imagery. Second Planetary Data Workshop, 2015. (Link to PDF) (CL#15-1429)

Paper Icon Andrew F. Hart, Luca Cinquini, Shakeh E. Khudikyan, David R. Thompson, Chris A. Mattmann, Kiri Wagstaff, Joseph Lazio, and Dayton Jones. A Framework for Collaborative Review of Candidate Events in High Data Rate Streams: The V-FASTR Experiment as a Case Study. Astronomical Journal, 2015. (Link to publisher's page) (CL#14-4569)

Paper Icon Lukas Mandrake, Gary Doran. Warn Levels: Ordering Data for Custom Filtration. International Greenhouse Gas Measurement Workshop (IWGGMS) proceedings, June 2015, Caltech. (Link to PDF) (CL#15-2371)

Paper Icon Lukas Mandrake, Gary Doran. DOGO Warn Levels: You've Got Them, Let's Use Them. OCO-2 Science Team Meeting, November 2015, Caltech. (Link to PDF) (CL#15-5001)

Paper Icon David R. Thompson, Bo-Cai Gao, Robert O. Green, Dar A. Roberts, Philip E. Dennison and Sarah Lundeen. Atmospheric Correction for Global Mapping Spectroscopy: ATREM Advances for the HyspIRI Preparatory Campaign. Remote Sensing of Environment (2015). (Link to Preprint) (CL#14-5180)

Paper Icon Lukas Mandrake. An Empirical Metric of Individual Datapoint Utility Given Ample Metadata as Applied to the OCO-2 Flight System. NASA Tech Briefs, 2015. (Link to PDF) (CL#14-3458)

Paper Icon David R. Thompson, David Wettergreen, Greydon Foil, Michael Furlong, Anatha Ravi Kiran. Spatio-Spectral Exploration Combining In-situ and Remote Measurements. Association for Advancement of Artificial Intelligence (AAAI) Proceedings, 2015. (Link to PDF) (CL#14-4916)

Tara Estlin, Daniel Gaines, Benjamin Bornstein, Steve Schaffer, Vandi Verma, Robert C. Anderson, Michael Burl, Diana Blaney, Lauren De Flores, Tony Nelson, Roger Wiens. Autonomous Science for the MSL Rover. International Joint Conference on Artificial Intelligence Workshop on Artificial Intelligence in Space (AI in Space, IJCAI), Buenos Aires, Argentina. (2015/07/XX)


2014
Paper Icon M.T. Glasscoe, J. Wang, M.E. Pierce, M.R. Yoder, J.W. Parker, M.C. Burl, T.M. Stough, R.A. Granat, A. Donnellan, J.B. Rundle, Y. Ma, G.W. Bawden, K. Yuen. E-DECIDER: Using Earth Science Data and Modeling Tools to Develop Decision Support for Earthquake Disaster Response. Pure and Applied Geophysics (PAGEOPH), Vol. 172, No. 8, pp. 2305--2324. (2014/03/XX)

Paper Icon Brian D. Bue, Kiri L. Wagstaff, Umaa D. Rebbapragada, David R. Thompson, and Benyang Tang. Astronomical Data Triage for Rapid Science Return. Proceedings of the Big Data from Space Conference, 2014. (Link to PDF) (CL#14-4231)

Paper Icon Kiri L. Wagstaff, David R. Thompson, Brian D. Bue, Thomas J. Fuchs. Autonomous Real-time Detection of Plumes and Jets from Moons and Comets. The Astrophysical Journal, 794(1), 2014. (Link to publisher's page) (CL#14-3527)

Paper Icon Andrew F. Hart, Luca Cinquini, Shakeh E. Khudikyan, David R. Thompson, Chris A. Mattmann, Kiri L. Wagstaff, Joseph Lazio, Dayton Jones. Supporting Distributed, Collaborative Review and Classification of Fast Transient Events. Computer, 47(9), 65-66, 2014. (Link to publisher's page)

Paper Icon Kiri L. Wagstaff, Ravi Kiran, Lukas Mandrake, Norbert Schorghofer, Alexander Smith, Ben Bornstein. Big Data Tools Come to Mars: Content-Based Analysis of Mars Orbital Imagery. 8th International Conference on Mars, 2014. (Download PDF) (CL#14-2730)

Paper Icon David R. Thompson, Sarah Burke-Spolaor, Adam T. Deller, Divya Palaniswamy, Steven J. Tingay, Kiri L. Wagstaff, Randall B. Wayth. Real-Time Adaptive Event Detection in Astronomical Data Streams. IEEE Intelligent Systems, 29(1):48-55, 2014. (Link to publisher's page) (CL#13-0317)

Paper Icon David R. Thompson, Abigail Allwood, Christopher Assad, David Flannery, Robert Hodyss, Emily Knowles, Lawrence Wade. Adaptive sampling for rover x-ray lithochemistry. Proceedings of the International Symposium on AI, Robotics and Automation in Space (i-SAIRAS) 2014. (Download PDF) (CL#14-1579)

Paper Icon Dmitriy Bekker, David R. Thompson, William J. Abbey, Nathalie A. Cabrol, Raymond Francis, Ken S. Manatt, Kevin F. Ortega, Kiri L. Wagstaff. A Field Demonstration of an Instrument Performing Automatic Classification of Geologic Surfaces. Astrobiology, 2014. (Download PDF) (CL#14-1546)

Paper Icon Raymond Francis, Kenneth McIsaac, David R. Thompson, Gordon R. Osinski. Autonomous Mapping of Outcrops using Multiclass Linear Discriminant Analysis. Proceedings of the International Symposium on AI, Robotics and Automation in Space (i-SAIRAS) 2014. (Download PDF) (CL#14-1423)

Paper Icon Raymond Francis, Kenneth McIsaac, David R. Thompson, Gordon R. Osinski. Autonomous Rock Outcrop Segmentation as a Tool for Science and Exploration Tasks in Surface Operations. SpaceOps 2014 Proceedings. (Download PDF) (CL#14-1529)

Paper Icon Kiri L. Wagstaff, Nina L. Lanza, Roger C. Wiens. Unusual ChemCam targets discovered automatically in Curiosity's first ninety sols in Gale Crater, Mars. 45th Lunar and Planetary Science Conference, 2014. (Download PDF) (CL#14-0105)

Paper Icon David R. Thompson, Robert O. Green, Didier Keymeulen, Sarah Lundeen, Yasha Mouradi, Rebecca Castano, Steve A. Chien. Rapid Spectral Cloud Screening Onboard Aircraft and Spacecraft. IEEE Transactions on Geoscience and Remote Sensing, 2014. (Download PDF) (CL#14-0456)

Paper Icon H. Nguyen, G. Osterman, D. Wunch, C. O'Dell, L. Mandrake, P. Wennberg, B. Fisher, R. Castano. A method for colocating satellite XCO2 data to ground-based data and its application to ACOS-GOSAT and TCCON. Atmospheric Measurement Techniques, February 2014, 7, 1495-1533, 2014. (Link to publisher's page) ()

Paper Icon Lukas Mandrake and Kiri L Wagstaff and Umaa D Rebbapragada. Detecting an Extreme Minority Class in Hyperspectral Data Using Machine Learning. NASA Tech Briefs, 2014. (Link to PDF) (CL#14-2373)

Paper Icon Seungwon Lee and Lukas Mandrake and Benjamin J. Bornstein and Brian D. Bue. Quantification of Trace Chemicals Using the Vehicle Cabin Atmosphere Monitor. NASA Tech Briefs, 2014. (Link to PDF) (CL#14-2375)

Paper Icon Cynthia Rudin and Kiri L. Wagstaff. Machine learning for science and society. Machine Learning, 2014. (Link to publisher's page) (CL#13-5196)

T. Estlin, R. C. Anderson, D. Blaney, B. Bornstein, M. Burl, R. Castaño, L. De Flores, D. Gaines, D. R. Thompson, R. Wiens. Automated Targeting for the MSL Rover ChemCam Spectrometer. 12th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2014), Montreal, Canada. (2014/07/XX)


2013
Paper Icon Kitty K. Lo, Tara Murphy, Umaa Rebbapragada, Kiri L. Wagstaff. Online Classification for Time-Domain Astronomy. Proceedings of the Astroinformatics workshop, IEEE International Conference on Data Mining, 2013. (Link to publisher's page) (CL#13-5024)

Paper Icon Lukas Mandrake. Informing Climate Retrieval Development Using Data Mining -or- How to Help Scientists Draw Better Lines. Interface 2013 at Chapman University, April 2013. (Link to PPTX) CL#13-1530

Paper Icon Lukas Mandrake and David R. Thompson. Advanced Multimission Operations System (ATMO). NASA Tech Briefs. (Link to PDF) (CL#13-2375)

Paper Icon David R. Thompson and Lukas Mandrake and Robert O Green. Mixture-Tuned, Clutter Matched Filter for Remote Detection of Subpixel Spectral Signals. NASA Tech Briefs. (Link to PDF) (CL#13-2373)

Lukas Mandrake. Warn Levels: Where do they come from, and what are they for?. OCO-2 Algorithm Meeting, January 2013, Caltech. ()

Paper Icon Lukas Mandrake, C. Frankenberg, C. W. O'Dell, G. Osterman, P. Wennberg, D. Wunch. Semi-autonomous Sounding Selection for OCO-2. Atmospheric Measurement Techniques, October 2013, 6, 2851-2864. (Link to publisher's page) (CL#13-4317)

Paper Icon Kiri L. Wagstaff, David R. Thompson, William Abbey, Abigail Allwood, Dmitriy L. Bekker, Nathalie A. Cabrol, Thomas Fuchs, Kevin Ortega. Smart, texture-sensitive instrument classification for in situ rock and layer analysis. Geophysical Research Letters, vol. 40, 2013. (Link to publisher's page) (CL #13-3846)

Paper Icon David R. Thompson, Nathalie A Cabrol, Michael Furlong, Craig Hardgrove, Bryan K. Low, Jeff Moersch, David Wettergreen. Adaptive Sensing of Time Series with Application to Remote Exploration. International Conference on Robotics and Automation (ICRA) 2013. Download PDF (CL #13-1817)

Paper Icon Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore. Guiding Scientific Discovery with Explanations using DEMUD. Proceedings of the Twenty-Seventh Conference on Artificial Intelligence, 2013. Download PDF (CL #13-1525)

Paper Icon David R. Thompson, Manuel de la Torre Juarez, Christopher M. Barker, Jodi Holeman, Sarah Lundeen, Steve Mulligan, Thomas H. Painter, Erika Podest, Felix C. Seidel, Eugene Ustinov. Airborne imaging spectroscopy to monitor the evolution of urban mosquito microhabitats. Remote Sensing of Environment, Vol. 137, Oct. 2013. Download PDF (CL#13-2620)

Paper Icon Cathryn M. Trott, Steven J. Tingay, Randall B. Wayth, David R. Thompson, Adam T. Deller, Walter F. Brisken, Kiri L. Wagstaff, Walid A. Majid, Sarah Burke-Spolaor, Jean-Pierre R. Macquart, Divya Palaniswamy. A Framework for Interpreting Fast Radio Transients Search Experiments: Application to the V-FASTR Experiment. The Astrophysical Journal, 767, 4, 2013. (Link to publisher's page) (CL #13-0721)

Paper Icon Tara Murphy, Shami Chatterjee, David L. Kaplan, Jay Banyer, Martin E. Bell, Hayley E. Bignall, Geoffrey C. Bower, Robert Cameron, David M. Coward, James M. Cordes, Steve Croft, James R. Curran, S. G. Djorgovski, Sean A. Farrell, Dale A. Frail, B. M. Gaensler, Duncan K. Galloway, Bruce Gendre, Anne J. Green, Paul J. Hancock, Simon Johnston, Atish Kamble, Casey J. Law, T. Joseph W. Lazio, Kitty K. Lo, Jean-Pierre Macquart, Nanda Rea, Umaa Rebbapragada, Cormac Reynolds, Stuart D. Ryder, Brian Schmidt, Roberto Soria, Ingrid H. Stairs, Steven J. Tingay, Ulf Torkelsson, Kiri Wagstaff, Mark Walker, Randall B. Wayth, Peter K. G. Williams. VAST: An ASKAP Survey for Variables and Slow Transients. Publications of the Astronomical Society of Australia, 30, 2013. (Link to publisher's page) (CL #13-3375)

Paper Icon David R. Thompson, Lukas Mandrake, Robert O. Green, Steve Chien. A Case Study of Subpixel Target Detection in Multimodal and Outlier-contaminated Scenes. IEEE Geoscience and Remote Sensing Letters, vol. 10 no. 5, 2013. Download PDF (CL#12-5258)

M.T. Glasscoe, T.M. Stough, J.W. Parker, M.C. Burl, R.A. Granat, A. Donnellan, M.E. Pierce, J. Wang, Y. Ma, J.B. Rundle, M.R. Yoder, G.B. Bawden. E-DECIDER: Decision Support for Earthquake Disaster Response. InCOSE LA Mini-Conference, Loyola Marymount University, Los Angeles, CA. (2013/07/XX)

M.T. Glasscoe, T.M. Stough, J.W. Parker, M.C. Burl, R.A. Granat, A. Donnellan, M.E. Pierce, J. Wang, Y. Ma, J.B. Rundle, M.R. Yoder, G.B. Bawden. E-DECIDER: Decision Support for Earthquake Disaster Response. 19th Annual CalGIS Conference, Keynote Address, Long Beach, CA. (2013/07/XX)

M. Glasscoe, T. Stough, J. Parker, M.C. Burl, A. Donnellan, R.G. Blom, M.E. Pierce, J. Wang, Y. Ma, J. Rundle, M.R. Yoder. E-Decider Decision Support Gateway for Earthquake Disaster Response. AGU Fall Meeting, Abstract \#IN33B-1546. (2013/12/XX)


2012
A.H.K. Roeder, A. Cunha, M.C. Burl, E.M. Meyerowitz. A Computational Image Analysis Glossary for Biologists. Development, No. 139, pp. 50:1--50:19. (2012)

Paper Icon Tara Estlin, Benjamin Bornstein, Daniel Gaines, Robert C. Anderson, David Thompson, Michael Burl, Rebecca Castano, and Michele Judd. AEGIS Automated Targeting for the MER Opportunity Rover. ACM Transactions on Intelligent Systems and Technology, 3(3). (Link to PDF) (CL#11-4072) (2012)

Paper Icon David R. Thompson, Benjamin J. Bornstein, Steve A. Chien, Steven Schaffer, Daniel Tran, Brian D. Bue, Rebecca Castaño, Damhnait F. Gleeson, Aaron Noell. Autonomous spectral discovery and mapping onboard the EO-1 spacecraft. IEEE Transactions on Geoscience and Remote Sensing, vol. 51 no. 6, 2013. (CL#12-5114)

David R. Thompson, D. C. Benner, Linda R. Brown, David Crisp, V. M. Devi, Yibo Jiang, Fabiano Oyafuso, Debra Wunch, Rebecca Castano, Charles E. Miller. Atmospheric Validation of High Accuracy CO2 Absorption Coefficients for the OCO-2 Mission. Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 113, Issue 17, November 2012. (CL#12-3151)

Paper Icon David R. Thompson, Benjamin Bornstein, Brian Bue, Daniel Tran, Steve Chien, Rebecca Castano. Hyperspectral Feature Detection Onboard the Earth Observing One Spacecraft using Superpixel Segmentation and Endmember Extraction. Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, Turin Italy, 2012. Download PDF (CL #12-2768)

Paper Icon David R. Thompson, William Abbey, Abigail Allwood, Dmitriy Bekker, Benjamin Bornstein, Nathalie A. Cabrol, Rebecca Castaño, Tara Estlin, Thomas Fuchs, Kiri L. Wagstaff. Smart Cameras for Remote Science Survey. Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, Turin Italy, 2012. Download PDF (CL #12-2127)

Paper Icon David R. Thompson, Steve Chien, Danel Tran, Melissa Bunte, Ron Greeley. Autonomous Onboard Science Data Analysis for Comet Missions. Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, Turin Italy, 2012. Download PDF (CL #12-2433)

Paper Icon Randall B. Wayth and Steven J. Tingay and Adam T. Deller and Walter F. Brisken and David R. Thompson and Kiri L. Wagstaff and Walid A. Majid. Limits on the event rates of fast radio transients from the V-FASTR experiment. The Astrophysical Journal Letters, 753:L36 (5pp) 2012 July 10, 2012. Download PDF (CL #12-2791)

Paper Icon Kiri L. Wagstaff. Machine Learning that Matters. Proceedings of the Twenty-Ninth International Conference on Machine Learning (ICML), June 2012. Download PDF (CL #12-2026)

Paper Icon Lukas Mandrake, Umaa Rebbapragada, Kiri Wagstaff, David Thompson, Steve Chien, Daniel Tran, Robert T. Pappalardo, Damhnait Gleeson, Rebecca Castano. Surface Sulfur Detection via Remote Sensing and Onboard Classification. Transactions on Intelligent Systems and Technology, 2012. Download PDF (CL #11-3813)

Paper Icon M. R. Darrach, A. Chutjian, Benjamin Bornstein, A. P. Croonquist, V. Garkanian, J. Hofman, D. Karmon, J. Kenny, R. D. Kidd, S. Lee, J. A. MacAskill, S. M. Madzunkov, Lukas Mandrake, R. T. Schaefer, N. Toomarian. Trace Chemical and Major Constituents Measurements of the International Space Station Atmosphere by the Vehicle Cabin Atmosphere Monitor. American Institute of Aeronautics and Astronautics, 2012. Download PDF ()

Paper Icon Crisp D., B. M. Fisher, C. O'Dell, C. Frankenberg, R. Basilio, H. Bosch, L. R. Brown, R. Castano, B. Connor, N. M. Deutscher, A. Eldering, D. Griffith, M. Gunson, A. Kuze, L. Mandrake, J. McDuffie, J. Messerschmidt, C. E. Miller, I. Morino, V. Natraj, J. Notholt, D. M. O’Brien, F. Oyafuso, I. Polonsky, J. Robinson, R. Salawitch, V. Sherlock, M. Smyth, H. Suto, T. E. Taylor, D. R. Thompson, P. O. Wennberg, D. Wunch, Y. L. Yung. The ACOS CO2 retrieval algorithm - Part II: Global XCO2 data characterization, Atmospheric Measurement Techniques. Atmospheric Measurement Techniques, 2012. Download PDF ()

Paper Icon David R. Thompson, William Abbey, Abigail Allwood, Dmitriy Bekker, Benjamin Bornstein, Nathalie A. Cabrol, Rebecca Castano, Tara Estlin, Thomas Fuchs, Kiri L. Wagstaff. Smart Cameras for Remote Science Survey. International Symposium on Artificial Intelligence, Robotics and Automation in Space. Download PDF (CL #12-2127)

Paper Icon David R. Thompson, Walid A. Majid, Colorado J. Reed, Kiri L. Wagstaff. Semi-Supervised Eigenbasis Novelty Detection. Statistical Analysis and Data Mining. Download PDF (CL #12-2014)

Paper Icon David R. Thompson, Julie C. Castillo-Rogez, Steve A. Chien, Richard Doyle, Tara Estlin, David Mclaren. Agile Science Operations: A New Approach for Primitive Bodies Exploration. SpaceOps. Download PDF (CL #12-1687)

Paper Icon David R. Thompson and Abigail Allwood and Dmitriy Bekker and Nathalie A. Cabrol and Tara Estlin and Thomas Fuchs and Kiri L. Wagstaff. TextureCam: Autonomous Image Analysis for Astrobiology Survey. 43rd Lunar and Planetary Science Conference, March 2012. Download PDF (CL#12-0118)

Paper Icon Umaa Rebbapragada and Kitty Lo and Kiri L. Wagstaff and Colorado Reed and Tara Murphy. Offline and Online Classification of Simulated VAST Transients. VAST Memo #5. Download PDF (CL#12-0867)

Paper Icon Lukas Mandrake and Benjamin J. Bornstein and Stojan Madzunkov and John A. MacAskill. Histogrammatic Method for Determining Relative Abundance of Input Gas Pulse. NASA Tech Briefs. (Link to PDF) (CL#12-2376)

Paper Icon Thomas Oommen and Umaa Rebbapragada and Daniel Cerminaro. Earthquake Damage Assessment using Objective Image Segmentation: A Case Study of the 2010 Haiti Earthquake. Proceedings of the GeoCongress 2012. Download PDF (CL#12-0117)

Carla E. Brodley and Umaa Rebbapragada and Kevin Small and Byron C. Wallace. Challenges and Opportunities in Applied Machine Learning. AI Magazine. (CL#11-5597)

Paper Icon David R. Thompson and Melissa Bunte and Rebecca Castano and Steve Chien and Ronald Greeley. Image Processing Onboard Spacecraft for Autonomous Plume Detection. Planetary and Space Science. Download PDF (CL#11-5157)

T. Estlin, R.C. Anderson, B. Bornstein, M. Burl, R. Castano, D. Gaines, M. Judd, D.R. Thompson, J.R. Johnson. Two Years Onboard the MER Opportunity Rover. Int. Symp. on AI, Robotics, and Space (iSAIRAS). (2012)

M.T. Glasscoe, A. Donnellan, T.M. Stough, J.W. Parker, M.C. Burl, R.A. Granat, M.E. Pierce, J. Wang, Y. Ma, J.B. Rundle, M.R. Yoder, G.B. Bawden. E-DECIDER: Using Earth Science Data and Modeling Tools to Develop Decision Support for Earthquake Disaster Response. AGU Fall Meeting, Abstract \#PA51A-2070, San Francisco, CA. (2012/12/XX)

M.T. Glasscoe, A. Donnellan, T.M. Stough, J.W. Parker, M.C. Burl, R.A. Granat, M.E. Pierce, J. Wang, Y. Ma, J.B. Rundle, M.R. Yoder, G.B. Bawden, S. Gorelik. E-DECIDER: Using Earth Science Data and Modeling Tools to Develop Decision Support for Earthquake Disaster Response. ACES 8th International Symposium and Workshop. Maui, HI, (2012/10/23)

M.T. Glasscoe, T.M. Stough, J.W. Parker, M.C. Burl, R.A. Granat, A. Donnellan, M.E. Pierce, J. Wang, Y. Ma, J.B. Rundle, M.R. Yoder, G.B. Bawden, S. Gorelik. E-DECIDER: Experiences Developing Earthquake Disaster Decision Support and Response Tools. 9th US-Japan Natural Resources Meeting, Denver, CO. (2012/10/09)


2011
M.C. Burl, P.G. Wetzler. Onboard Object Recognition for Planetary Exploration. Machine Learning Journal, Vol. 84, No. 3, pp. 341--367. (2011/03/XX)

Paper Icon Lukas Mandrake. Adaptation of the AMDIS Method to Flight Status on the VCAM Instrument. NASA Tech Briefs. (Link to PDF) (CL#11-2376)

Paper Icon Wunch, D., P. O. Wennberg, G. C. Toon, B. J. Connor, B. Fisher, G. B. Osterman, C. Frankenberg, L. Mandrake, C. W. O’Dell, P. Ahonen, S. C. Biraud, R. Castano, N. Cressie, D. Crisp, N. M. Deutscher, A. Eldering, M. L. Fisher, D. W. T. Griffith, M. Gunson, P. Heikkinen, G. Keppel-Aleks, E. Kyrö, R. Lindenmaier, R. Macatangay, J. Mendonca, J. Messerschmidt, C. E. Miller, I. Morino, J. Notholt, F. A. Oyafuso, M. Rettinger, J. Robinson, C. M. Roehl, R. J. Salawitch, V. Sherlock, K. Strong, R. Sussmann, T. Tanaka, D. R. Thompson, O. Uchino, T. Warneke, S. C. Wofsy. A method for evaluating bias in global measurements of CO2 total columns from space. Atmospheric Chemistry and Physics, v11, n23, pp. 12317-12337, 2011. Download PDF ()

Paper Icon Umaa Rebbapragada and Kitty Lo and Kiri L. Wagstaff and Colorado Reed and Tara Murphy and David R. Thompson. Classification of ASKAP VAST Radio Light Curves. Proceedings of the International Astronomical Union (IAU 285). Download PDF (CL#12-0266)

Paper Icon Dayton L. Jones, Kiri L. Wagstaff, David R. Thompson, Larry D'Addario, Robert Navarro, Chris Mattman, Walid Majid, Umaa Rebbapragada, Joseph Lazio, Robert Preston. Fast Transient Detection as a Prototypical Big Data Problem. Proceedings of the International Astronomical Union (IAU 285). Link to Publisher (CL#11-4808)

Paper Icon David R. Thompson and William Johnson and Robert Kremens. Multiple-Frame Subpixel Wildfire Tracking. IEEE Geoscience and Remote Sensing Letters. Download PDF (CL#11-5172)

Paper Icon David R. Thompson and William Johnson and Michael Mercury and Robert Staehle. Fire Detection Constellation Concept. Tactical Fire Remote Sensing Advisory Committee (TFRSAC). Download PDF (CL#11-5210)

Paper Icon Brian Bue and David R. Thompson. Multiclass Continuous Correspondence Learning. NIPS workshop on Domain Adaptation. Download PDF (CL#11-5494)

Paper Icon David R. Thompson and Walid A. Majid and Colorado Reed and Kiri L. Wagstaff. Semi-supervised novelty detection with adaptive eigenbases, application to radio transients. Conference on Intelligent Data Understanding. Download PDF (CL#11-3456) Best Paper Award

Paper Icon Martha S. Gilmore, David R. Thompson, Laura J. Anderson, Nader Karamzadeh, Lukas Mandrake, Rebecca Castaño. Superpixel segmentation for analysis of hyperspectral data sets, with application to Compact Reconnaissance Imaging Spectrometer for Mars data, Moon Mineralogy Mapper data, Ariadnes Chaos, Mars. J. Geophys. Res. vol. 116, E07001. PDF from JGR web site (CL#11-1799)

Paper Icon Benjamin Bornstein, David R. Thompson, Daniel Tran, Brian Bue, Steve Chien, Rebecca Castano. Efficient Spectral Endmember Detection Onboard the EO-1 Spacecraft. IEEE Workshop on Hyperspectral Imagery and Signal Processing: Evolutions in Remote Sensing. Download PDF (CL#11-1486)

Paper Icon Brian Bue and David R. Thompson and Martha Gilmore and Rebecca Castano. Metric Learning for Hyperspectral Image Segmentation. IEEE Workshop on Hyperspectral Imagery and Signal Processing: Evolutions in Remote Sensing. Download PDF (CL#11-1494)

Paper Icon Randall B. Wayth and Adam Deller and Walter Brisken and Walid A. Majid and David R. Thompson and and Steven Tingay and Kiri L. Wagstaff. V-FASTR: The VLBA Fast Radio Transients Experiment. The Astrophysical Journal, 735, 97. 2011. Arxiv preprint (CL#11-1798)

Paper Icon David R. Thompson and Kiri L. Wagstaff and Adam Deller and Walter Brisken and Walid A. Majid and Steven Tingay and Randall Wayth. Detection of Fast Transients with Multiple Stations: A Case Study with the Very Long Baseline Array. The Astrophysical Journal, 735, 98. 2011. Arxiv preprint (CL#11-0600)

Paper Icon Umaa Rebbapragada and Thomas Oommen. Integrating Machine Learning into a Crowdsourced Model for Earthquake-Induced Damage Assessment. Proceedings of the ICML Workshop on Machine Learning for Global Challenges, July 2011. Download PDF (CL#11-2531)

Paper Icon Umaa Rebbapragada and Kiri L. Wagstaff. Using Ensemble Decisions and Active Selection to Improve Low-Cost Labeling for Multi-View Data. Proceedings of the ICML Workshop on Combining Learning Strategies to Reduce Label Cost, July 2011. Download PDF (CL#11-2283)

Paper Icon David R. Thompson and David S. Wettergreen and Francisco J. Calderon Peralta. Autonomous Science during Large-Scale Robotic Survey. Journal of Field Robotics, July/Aug 2011. Download PDF (CL#11-1223)

Paper Icon Mary Pendleton Hoffer, Ronald Greeley, Kiri L. Wagstaff, Adnan Ansar. Transient Aeolian Features Detected Autonomously in HiRISE Images of El Dorado, Columbia Hills, Gusev Crater, Mars. 42nd Lunar and Planetary Science Conference, March 2011. Download PDF (CL#11-0140)

Paper Icon David R. Thompson and Melissa Bunte and Rebecca Castano and Steve Chien and Ronald Greeley. Onboard Image Processing for Autonomous Spacecraft Detection of Volcanic Plumes. LPSC, March 2011. Download PDF (CL#11-0001)

Paper Icon Melissa Bunte and David R. Thompson and Rebecca Castano and Steve Chien and Ronald Greeley. Enabling Europa Science through Onboard Feature Detection in Hyperspectral Images. LPSC, March 2011. Download PDF (CL#11-0026)

Paper Icon David R. Thompson, Martha Gilmore, Lukas Mandrake, Rebecca Castano. Automatic Detection of Water and Mafics in M3 Radiance Images. LPSC, March 2011. Download PDF (CL#11-0002)

Paper Icon M. R. Darrach, A. Chutjian, Benjamin Bornstein, A. P. Croonquist, V. Garkanian, V. R. Haemmerle, J. Hofman, W. M. Heinrichs, D. Karmon, J. Kenny, R. D. Kidd, S. Lee, J. A. MacAskill, S. M. Madzunkov, Lukas Mandrake, T. M. Rust, R. T. Schaefer, J. L. Thomas, N. Toomarian. On-Orbit Measurements of the ISS Atmosphere by the Vehicle Cabin Atmosphere Monitor. American Institute of Aeronautics and Astronautics, July 2011. Download PDF ()

M.T. Glasscoe, R. Blom, G. Bawden, G. Fox, M. Pierce, J. Rundle, J. Wang, R. Granat, M. Burl, Y. Ma, M. Yoder, M. Sachs, E. Fielding, J. Parker, C. Norton, G. Lyzenga, R. Bürgmann. E-DECIDER: Experiences Developing Earthquake Disaster Decision Support and Response Tools. APEC Cooperation for Earthquake Simulation (ACES) Workshop on Advances in Simulation of Multihazards. (2011/05/XX)


2010
M.J. Garay, M.C. Burl. Adaptive Sky: From Instrument Pixels to a Sensor Web Gestalt. IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) Special Issue on Earth Observation Sensor Web, Vol. 3, No. 4, pp. 481--487. (2010/12/XX)

Paper Icon M. R. Darrach, A. Chutjian, Benjamin Bornstein, A. P. Croonquist, V. Garkanian, V. R. Haemmerle, W. M. Heinrichs, D. Karmon, J. Kenny, R. D. Kidd, S. Lee, J. A. MacAskill, S. M. Madzunkov, Lukas Mandrake, T. M. Rust, R. T. Schaefer, J. L. Thomas, N. Toomarian. Validation Test Results from the Vehicle Cabin Atmosphere Monitor. American Institute of Aeronautics and Astronautics, July 2010. Download PDF ()

D. F. Gleeson, R. T. Pappalardo, S. E. Grasby, M. S. Anderson, B. Beauchamp, R. Castano, S. A. Chien, T. Doggett, L. Mandrake, K. L. Wagstaff. Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data. Remote Sensing of the Environment, June 15, 2010, 114(6), p. 1297-1311.

Paper Icon David R. Thompson, Lukas Mandrake, Martha Gilmore, Rebecca Castano. Superpixel Endmember Detection. Transactions on Geoscience and Remote Sensing, 48(11):4023-4033, Nov. 2010. Download PDF (CL#10-2172)

Paper Icon David Hayden, Steve Chien, David R. Thompson, Rebecca Castano. Using Onboard Clustering to Summarize Remotely Sensed Imagery. IEEE Intelligent Systems, May/June 2010. Download PDF (CL#09-3096)

Paper Icon M. R. Darrach, A. Chutjian, B. J. Bornstein, A. P. Croonquist, V. Garkanian, V. R. Haemmerle, W. M. Heinrichs, D. Karmon, J. Kenny, R. D. Kidd, S. Lee, J. A. MacAskill, S. M. Madzunkov, L. Mandrake, T. M. Rust, R. T. Schaefer, J. L. Thomas, N. Toomarian. Validation Test Results from the Vehicle Cabin Atmosphere Monitor. International Conference on Environmental Systems (ICES), July 2010. Download PDF (CL#10-0419)

Paper Icon Jean-Pierre Macquart, the CRAFT collaboration: M. Bailes, N.D.R. Bhat, G.C. Bower, J.D. Bunton, S. Chatterjee, T. Colegate, J.M. Cordes, L. D'Addario, A. Deller, R. Dodson, R. Fender, K. Haines, P. Hall, C. Harris, A. Hotan, S. Johnston, D.L. Jones, M. Keith, J.Y. Koay, T.J.W. Lazio, W. Majid, T. Murphy, R. Navarro, C. Phillips, P. Quinn, R.A. Preston, B. Stansby, I. Stairs, B. Stappers, L. Staveley-Smith, S. Tingay, D. Thompson, W. van Straten, K. Wagstaff, M. Warren, R. Wayth, L. Wen. The Commensal Real-time ASKAP Fast Transients (CRAFT) survey. Publications of the Astronomical Society of Australia, 27(3), p. 272-282, June 2010. PDF on PASA's site (CL#10-0436)

Paper Icon Lukas Mandrake, David R. Thompson, Martha Gilmore, Rebecca Castano, Eldar Z. N. Dobrea. Automated Neutral Region Selection Using Superpixels. Proceedings of the IEEE WHISPERS conference, June 2010. Download PDF (CL#10-0557)

Paper Icon Kiri Wagstaff, Frank Corsetti. An Evaluation of Information-Theoretic Methods for Detecting Structural Microbial Biosignatures. Astrobiology, 10(4):363-379, doi:10.1089/ast.2008.0301, May 2010. PDF/Abstract (CL#09-2053)

Paper Icon Marie desJardins, James MacGlashan, Kiri L. Wagstaff. Confidence-Based Feature Acquisition to Minimize Training and Test Costs. Proceedings of the SIAM Conference on Data Mining, p. 514-524, April 2010. Download PDF (CL#10-0543)

Paper Icon L. Mandrake, D. R. Thompson, M. Gilmore, R. Castano. Hii-HAT: an IDL/ENVI Toolkit for Rapid Hyperspectral Inquiry. 41st Lunar and Planetary Sciences, March 2010. Download PDF (CL#10-0569)

Paper Icon David R. Thompson, Rebecca Castano, David Wettergreen. Compression Ratio as Indicator of Scientist Preferences for Rover Images. 41st Lunar and Planetary Science Conference, March 2010. Download PDF (CL#09-5087)

Paper Icon Kiri L. Wagstaff, Julian Panetta, Adnan Ansar, Melissa Bunte, Ronald Greeley, Mary Pendleton Hoffer, Norbert Schorghofer. Change Detection in Mars Orbital Images using Dynamic Landmarking. 41st Lunar and Planetary Science Conference, March 2010. Download PDF (CL#10-0753)

Paper Icon Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni, Benyang Tang. Progressive Refinement for Support Vector Machines. Data Mining and Knowledge Discovery, 20(1):53-69, doi:10.1007/s10618-009-0149-y, January 2010. Download PDF (CL#09-3612)

Paper Icon David R. Thompson, Steve Chien, Arjuna Balasurayia, Stephanie Petillo, Yi Chao, Peggy Li, Bronwyn Cahill, Julia Levin, Michael Meisinger, Matthew Arrott, Oscar Schofield. Spatiotemporal Path Planning in Strong, Dynamic, Uncertain Currents. Proceedings of the IEEE International Conference on Robotics and Automation 2010. Download PDF (CL#10-0420)

T. Estlin, B. Bornstein, D. Gaines, D. Thompson, R. Castano, R.C. Anderson, C. de Granville, M.C. Burl, M. Judd, S. Chien. AEGIS Automated Targeting for the MER Opportunity Rover. Int. Symp. on AI, Robotics, and Space (iSAIRAS), Sapporo, Japan. (2010)


2009
Paper Icon Kiri L. Wagstaff. Smart Robots on Mars: Deciding Where to Go and What to See. Juniata Voices, 2009. Download PDF (CL#10-0426)

Paper Icon Kiri L. Wagstaff, Marie desJardins, Eric Eaton. Modeling and Learning Preferences over Sets. Journal of Experimental and Theoretical Artificial Intelligence, doi:10.1080/09528130903119336, November 2009. Abstract/PDF (InformaWorld) (CL#09-2049)

Paper Icon David R. Thompson, Robert C. Anderson, Benjamin Bornstein, Nathalie A. Cabrol, Steve Chien, Tara Estlin, Terry Fong, Robert Hogan, Ralph Lorenz, Daniel Gaines, Martha S. Gilmore, Mario Parente, Liam Pedersen, Ted L. Roush, Giuseppe Marzo, David Wettergreen. Onboard Science Data Analysis: Implications for Future Missions. Whitepaper submitted to the National Academy of Science's Planetary Science Decadal Survey. Download PDF (CL#09-3684)

Paper Icon David R. Thompson, Steve Chien, Matthew Arrott, Arjuna Balasuriyai, Yi Chao, Peggy Li, Stephanie Petillo, Oscar Schofield. Mission Planning in a Dynamic Ocean Sensorweb. Proceedings of the International Conference on Planning and Scheduling, SPARK Workshop. Download PDF (CL #09-3134)

Paper Icon David Hayden, Steve Chien, David R. Thompson, Rebecca Castano. Onboard Clustering of Aerial Data for Improved Science Return. Proceedings of the International Joint Conference on Artificial Intelligence Workshop on AI in Space, August 2009. Download PDF (CL #09-3096)

Paper Icon David R. Thompson, Lukas Mandrake, Martha Gilmore, Rebecca Castano. Superpixel Segmentation for Endmember Detection in Hyperspectral Images. Proceedings of the American Geophysical Union conference, December 2009. Download PDF ()

Paper Icon Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo. Onboard SVM Analysis of Hyperion Data to Detect Sulfur Deposits in Arctic Regions. Proceedings of the IEEE WHISPERS conference, August 2009. Download PDF (CL #09-1964)

Paper Icon David R. Thompson, David Wettergreen, Rebecca Castano . Adaptive Subsampling of Image Sequences for Remote Exploration. Proceedings of the International Joint Conference on Artificial Intelligence Workshop on AI in Space, August 2009. Download PDF (CL #09-2173)

Paper Icon David R. Thompson, Nathalie A. Cabrol. Fast Texture Analysis for Remote Exploration. Proceedings of the International Joint Conference on Artificial Intelligence Workshop on AI in Space, August 2009. Download PDF (CL #09-2025)

Paper Icon David R. Thompson, Rebecca Castano, Martha S. Gilmore. Sparse Superpixel Unmixing for Exploratory Analysis of CRISM Hyperspectral Images. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, August 2009. Download PDF (CL #09-1930)

Paper Icon David R. Thompson. Aspen Glider Mission Planning. OSSE Demo video, July 2009. Download MOV (CL #09-2439)

Paper Icon Robert Granat, Kiri L. Wagstaff, Benjamin Bornstein, Benyang Tang, Michael Turmon. Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning. Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT), July 2009. Download PDF (CL #09-1474)

Paper Icon Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo. Hyperspectral Sulfur Detection Using an SVM with Extreme Minority Positive Examples Onboard EO-1. IJCAI AI in Space Workshop Conference, July 2009. Download PPT (CL #09-2372)

Paper Icon David R. Thompson. Domain-Guided Novelty Detection for Autonomous Exploration. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2009. Download PDF (CL #09-1311)

Paper Icon Kiri L. Wagstaff, Benjamin Bornstein. How Much Memory Radiation Protection do Onboard Machine Learning Algorithms Require?. Proceedings of the IJCAI-09/SMC-IT-09/IWPSS-09 Workshop on Artificial Intelligence in Space, July 2009. Download PDF (CL #09-2771)

Paper Icon Kiri L. Wagstaff, Benjamin Bornstein. K-means in Space: A Radiation Sensitivity Evaluation. Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML), June 2009. Download PDF (CL #09-1355) [Note: An error in units conversion causes the experiments in this paper to over-estimate the impact of radiation. See 'How much Memory Radiation Protection do Onboard Machine Learning Algorithms Require?' above for updated results.]

Paper Icon Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Umaa Rebbapragada, Daniel Tran, Rebecca Castano, Steven Chien, Robert T. Pappalardo. Onboard Detection of Natural Sulfur on a Glacier via an SVM and Hyperion Data. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #08-4689)

Paper Icon Lukas Mandrake, Seungwon Lee, Benjamin Bornstein, Brian Bue. Adapting AMDIS for Autonomous Spectral Identification of Hazardous Compounds for ISS Monitoring. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #08-4703)

Paper Icon Seungwon Lee, Lukas Mandrake, Benjamin Bornstein, Brian Bue. Quantification of Trace Chemicals using Vehicle Cabin Atmosphere Monitor. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #09-1960)

M.C. Burl, E. Wang, B. Enke, W.J. Merline. Directed Exploration of Complex Systems. NASA Conference on Intelligent Data Understanding (CIDU), NASA Ames Research Center, Mountain View, CA. (2009/10/XX)

T. Estlin, R. Castano, R.C. Anderson, D. Gaines, B. Bornstein, C. de Granville, D. Thompson, M. Burl, M. Judd. Automated Targeting for the MER Rovers. Proc. of Space Mission Challenges for Information Technology Conf. (SMC-IT2009), Pasadena, CA. (2009/07/XX)

M.C. Burl, E. Wang. Active Learning for Directed Exploration of Complex Systems. Int. Conf. on Machine Learning, Montreal, Canada. (2009/06/XX)


2008
Paper Icon A. Chutjian, M. R. Darrach, Benjamin Bornstein, A. P. Croonquist, E. Edgu-Fry, D. J. Fry, V. Garkanian, M. A. Girard, V. R. Haemmerle, W. M. Heinrichs, R. D. Kidd, S. Lee, J. A. MacAskill, S. M. Madzunkov, Lukas Mandrake, T. M. Rust, R. T. Schaefer, J. L. Thomas, N. Toomarian, M. J. Walch. Results from the Vehicle Cabin Atmosphere Monitor: A Miniature Gas Chromatograph/Mass Spectrometer for Trace Contamination Monitoring on the ISS and Orion. American Institute of Aeronautics and Astronautics, June 2008. Download PDF ()

B. Bornstein, S. Lee, L. Mandrake. Vehicle Cabin Atmosphere Monitor (VCAM) Mass Spectrometer - Algorithms for Chemical Species Identification and Quantification. NASA NPO 45695, 2008.

Paper Icon Umaa Rebbapragada, Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Rebecca Castano, Steve Chien, Carla E. Brodley. Improving Onboard Analysis of Hyperion Images by Filtering Mislabeled Training Data Examples. Proceedings of the 30th IEEE Aerospace Conference, March 2009. Download PDF (CL #09-0103)

Paper Icon Michael C. Burl, Michael J. Garay, Clare Averill, Benjamin Bornstein, Lukas Mandrake, Yi Wang, Justin Ng. Generation of Object-Centric Datasets with Adaptive Sky. Earth Science Technology Conference 2008 Proceedings, Invited Paper. Download PDF (CL) (2008/06/XX)

M.C. Burl, M.J. Garay, C. Averill, B.J. Bornstein, L. Mandrake, Justin Ng, Yi Wang. Adaptive sky sensor web: novel multi-instrument, multi-satellite observations of volcanic ash. Workshop on Smart Sensing and Situation Awareness in Sensor Networks, 4th International Conference on Intelligent Environments (IE08) (CP541), Seattle, WA. (CL) (2008/07/XX)

Paper Icon Ashley Gerard Davies, Daniel Q. Tran, Lukas Mandrake, Kate Boudreau, Johanna Cecava, Andres Mora Vargas, Alberto Behar, Steve Chien, Rebecca Castano, Stuart Frye, Dan Mandl, Lawrence Ong, Philip Kyle, Robert Wright. The Model-Based Volcano Sensor Web: Progress in 2007. Earth Science Technology Conference 2008 Proceedings. Download PDF (CL)

Paper Icon Kiri L. Wagstaff, Terran Lane, Alex Roper. Multiple-Instance Regression with Structured Data. Proceedings of the 4th International Workshop on Mining Complex Data, December 2008. Download PDF (CL #08-3940)

Paper Icon Kiri L. Wagstaff, Ken Peters, Lucas Scharenbroich. From Protocol Specification to Statechart to Implementation. JPL Technical Report, 2008. Download PDF (CL #08-4014)

Paper Icon Benjamin Bornstein, Seungwon Lee, Luke Mandrake, Brian Bue. Autonomous Identification and Quantification of Chemical Species with VCAM for use Onboard the ISS. IEEE Aerospace Big Sky March 2008. Download PDF ()

David R. Thompson. Intelligent Mapping for Autonomous Robotic Survey. Doctoral Dissertation, The Robotics Institute at Carnegie Mellon University, July 2008.

David R. Thompson, Trey Smith, David Wettergreen. Information-Optimal Selective Data Return for Autonomous Rover Traverse Science and Survey. IEEE Conference on Robotics and Automation, 2008.

David R. Thompson, David Wettergreen. A Tale of Two Rovers: Mission Scenarios for Kilometer-Scale Site Survey. IEEE Conference on Robotics and Automation Rover Workshop (Abstract), 2008.

Paper Icon Paula J. Pingree, Lucas J. Scharenbroich, Thomas A. Werne, David Pellerin. Developing FPGA Coprocessors for Performance-Accelerated Spacecraft Image Processing. Xcell Journal, p. 22-26, 2008. Download PDF (CL #08-0476)

Paper Icon Paula J. Pingree, Lucas J. Scharenbroich, Thomas A. Werne, Christine M. Hartzell. Implementing Legacy-C Algorithms in FPGA Co-Processors for Performance Accelerated Smart Payloads. IEEE Aerospace Conference. Download PDF (CL #08-0247)

Paper Icon A. Chutjian, M. R. Darrach, B. Bornstein, A. P. Croonquist, E.Edgu-Fry, D. J. Fry, V. Garkanian, M. A. Girard, V. R. Haemmerle, W.M. Heinrichs, R. D. Kidd, S. Lee, J. A. MacAskill, L. Mandrake, T. M.Rust, R. T. Schaefer, J. L. Thomas, N. Toomarian, M. J.Walch, M.Christensen, D. Demonbrun, R. Vanholden, P. M. Holland, B. J.Shortt. Results Using the Vehicle Cabin Atmosphere Monitor: AMiniature Gas Chromatograph/Mass Spectrometer for Trace ContaminationMonitoring on the ISS and Orion. International Conference on Environmental Systems (ICES), July 2008. ()

Paper Icon Rebecca Castano, Kiri Wagstaff, Damhnait Gleeson, Robert Pappalardo, Steve Chien, Daniel Tran, Lucas Scharenbroich, Baback Moghaddam, Benyang Tang, Brian Bue, Thomas Doggett, Dan Mandl, Stuart Frye. Onboard Detection of Active Canadian Sulfur Springs: A Europa Analogue. Proceedings of the 9th International Symposium on Artificial Intelligence, Robotics, and Automation in Space, February 2008. Download PDF (CL #07-4419)

Paper Icon Kiri L. Wagstaff, Edward Benowitz, DJ Byrne, Ken Peters, Garth Watney. Automatic Code Generation for Instrument Flight Software. Proceedings of the 9th International Symposium on Artificial Intelligence, Robotics, and Automation in Space, February 2008. Download PDF (CL #07-4374)

Francisco Calderon Peralta, David R. Thompson, David Wettergreen. Autonomous Rover Reflectance Spectroscopy with Dozens of Targets. International Symposium on Artificial Intelligence, Robotics and Automation in Space (ISAIRAS) 2008.

David R. Thompson, David Wettergreen. Intelligent Maps for Autonomous Kilometer-Scale Site Survey. International Symposium on Artificial Intelligence, Robotics and Automation in Space (ISAIRAS), 2008.

Paper Icon Baback Moghaddam, Amit Gruber, Yair Weiss, Shai Avidan. Sparse Regression as a Sparse Eigenvalue Problem. Information Theory & Applications Workshop (ITA'08), January 2008. Download PDF (CL #08-4561)

Paper Icon Kiri L. Wagstaff, Timothy N. Titus, Anton B. Ivanov, Rebecca Castano. Observations of the North Polar Water Ice Annulus on Mars using THEMIS and TES. Planetary and Space Science, 56:2, p. 256-265, January 2008. Abstract/PDF (ScienceDirect) (CL #07-1701)

B. Shapiro, H. Jonsson, P. Sahlin, M. Heissler, A. Roeder, M.C. Burl, E.M. Meyerowitz, E. D. Mjolsness. Chapter: Tessellations and Pattern Formation in Plant Growth and Development. Tessellations in the Sciences: Virtues, Techniques and Applications of Geometric Tilings, eds. Rien van de Weijgaert, Gert Vegter, Jelle Ritzerveld, Vincent Icke, Publisher: Springer. (2008)

M.C. Burl, E. Wang. Information-theoretic Active Learning for Developing Simplified Predictive Models of Complex Dynamical Systems. Second NASA Conference on Intelligent Data Understanding (CIDU08), NASA HQ, Washington, D.C.. (2008/09/XX)

P. Springer, E. Upchurch, M. Stalzer, S. Mauch, J. McCorquodale, J. Lindheim, M. Burl. Porting Some Key Caltech and JPL Applications to a PS3 Cluster: A Wild Ride. Twelfth Annual Workshop on High Performance Embedded Computing (HPEC08), Lexington, MA,. (2008/08/XX)

M.C. Burl, M.J. Garay, Y. Wang, J. Ng. Adaptive Sky: A Feature Correspondence Toolbox for a Distributed Cloud Monitoring Sensor Web. IEEE Aerospace Conference, Big Sky, MT. (2008/03/XX)

Y. Wang, J. Ng, M.J. Garay, M.C. Burl. Onboard Image Registration from Invariant Features. Int. Symp. on Artificial Intelligence, Robotics, and Automation for Space (i-SAIRAS), Universal City, CA. (2008/02/XX

A. Holub, M.C. Burl, P. Perona. Entropy-based Active Learning for Object Recognition. CVPR Workshop on Online Learning for Classification, Best Paper Award. (2008)


2007
Paper Icon Ashley Davies, Robert Wright, Philip Kyle, Rebecca Castano, Steve Chien, Daniel Tran, Scott Chadde, Lukas Mandrake, Dan Mandl, Stuart Frye. A Science Model-Driven Autonomous Volcano Sensor Web. NASA Science Technology Conference 2007 Proceedings. Download PDF (CL)

T Stepinski, M Mendenhall, B Bue. Robust Automated Identification of Martian Impact Craters. 38th Annual Lunar and Planetary Science Conference.

Paper Icon Kiri L. Wagstaff. Value, Cost, and Sharing: Open Issues in Constrained Clustering. Knowledge Discovery in Inductive Databases (KDID 2006), LNCS 4747, p. 1-10, 2007. Download PDF (CL #06-2844)

Paper Icon Baback Moghaddam, Yair Weiss, Shai Avidan. Fast Pixel/Part Selection with Sparse Eigenvectors. Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV'07), October 2007. Download PDF (CL #07-2491)

Trey Smith, David R. Thompson, David Wettergreen. Generating Exponentially Smaller POMDP Models Using Conditionally Irrelevant Variable Abstraction. 18th International Conference on Automated Planning and Scheduling (ICAPS), 2007.

Paper Icon Rebecca Castano, Kiri L. Wagstaff, Steve Chien, Timothy M. Stough, Benyang Tang. On-board Analysis of Uncalibrated Data for a Spacecraft at Mars. Proceedings of the Thirteenth International Conference on Knowledge Discovery and Data Mining (KDD), p. 922-930, August 2007. Download PDF (CL #07-0899)

Paper Icon Kiri L. Wagstaff, Terran Lane. Salience Assignment for Multiple-Instance Regression. ICML 2007 Workshop on Constrained Optimization and Structured Output Spaces, July 2007. Download PDF (CL #07-1809)

Paper Icon Rebecca Castano, Tara Estlin, Robert C. Anderson, Daniel M. Gaines, Andres Castano, Benjamin Bornstein, Caroline Chouinard, Michele Judd. OASIS: Onboard Autonomous Science Investigation System for Opportunistic Rover Science. Journal of Field Robotics 24, 5, May 2007, p. 379-397. Download PDF (CL #06-3762)

Heather Dunlop, David R. Thompson, David Wettergreen. Multiscale Features for Detection and Segmentation of Rocks in Mars Imagery. IEEE Conference on Computer Vision and Pattern Recognition, 2007.

David R. Thompson, Rebecca Castano. A Performance Comparison of Rock Detection Algorithms. IEEE Aerospace Conference, Big Sky Montana, 2007.

David R. Thompson, David Wettergreen. Spatial Point Process Models for the Distribution of Northern Plains Boulders. 38th Lunar and Planetary Science Conference, March 2007.

Paper Icon Yuekui Yang, Larry Di Girolamo, Dominic Mazzoni. Selection of the automated thresholding algorithm for the Multi-angle Imaging SpectroRadiometer Radiometric Camera-by-Camera Cloud Mask over land. Remote Sensing of the Environment 107(1-2), p. 159-171. Abstract/PDF (ScienceDirect)

Paper Icon Dominic Mazzoni, Jennifer A. Logan, David Diner, Ralph Kahn, Lingling Tong, Qinbin Li. A data-mining approach to associating MISR smoke plume heights with MODIS fire measurements. Remote Sensing of the Environment 107(1-2), p. 138-148. Abstract/PDF (ScienceDirect) (CL #07-0026)

Paper Icon Dominic Mazzoni, Michael J. Garay, Roger Davies, David Nelson. An operational MISR pixel classifier using support vector machines. Remote Sensing of the Environment 107(1-2), p. 149-158. Abstract/PDF (ScienceDirect)

B Bue, TF Stepinski. Machine detection of martian impact craters from digital topography data. IEEE Transactions on Geoscience and Remote Sensing.

Paper Icon Kiri Wagstaff, Dennis Corwin, Lukas Mandrake, Alex Roper, Lucas Scharenbroich. Heterogeneous Agricultural Research Via Interactive, Scalable Technology (HARVIST): Infusion for the USDA. Earth Science Technology Office Final Report. Download PDF ()

Trey Smith, David R. Thompson, David Wettergreen, Nathalie Cabrol, Kimberly Warren-Rhodes, Shmuel Weinstein. Life in the Atacama: Science Autonomy for Improved Data Quality. Journal of Geophysical Research vol. 112, G04S03, 2007.

R. Castano, T. Estlin, D. Gaines, C. Chouinard, B. Bornstein, R.C. Anderson, M. Burl, D. Thompson, A. Castano, M. Judd,. Onboard Autonomous Rover Science. IEEE Aerospace Conference, Big Sky, MT. (2007)


2006
Paper Icon Dominic Mazzoni, Kiri L. Wagstaff, Michael Burl. Active Learning with Irrelevant Examples. Proceedings of the Seventeenth European Conference on Machine Learning. Download PDF (CL #06-1838) (2006/09/XX)

Paper Icon Ian Davidson, Kiri L. Wagstaff, Sugato Basu. Measuring Constraint-Set Utility for Partitional Clustering Algorithms. Proceedings of the Tenth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), September 2006. Download PDF (CL #06-1843)

Paper Icon Kiri L. Wagstaff, Sugato Basu, Ian Davidson. When is Constrained Clustering Beneficial, and Why?. Proceedings of the Twenty-First National Conference on Artificial Intelligence (Member Abstracts), July 2006. Download PDF (CL #06-1417)

Paper Icon Marie desJardins, Eric Eaton, Kiri L. Wagstaff. Learning User Preferences for Sets of Objects. Proceedings of the Twenty-Third International Conference on Machine Learning, June 2006. Download PDF (CL #06-1230)

Paper Icon Kiri Wagstaff, Dominic Mazzoni. Recent HARVIST Results: Classifying Crops from Remote Sensing Data. Proceedings of the Second NASA Data Mining Workshop, May 2006. Download PDF (CL #06-2015)

Trey Smith and David R. Thompson and David Wettergreen. Automatic Chlorophyll Detection and Followup Applied to the Search for Life in the Atacama. 37th Lunar and Planetary Science Conference, March 2006.

David R. Thompson, Trey Smith, David Wettergreen. Automatic Detection of Novel Biologic and Geologic Images in Atacama Desert Rover Traverse Imagery. 37th Lunar and Planetary Science Conference, March 2006.

B Bue, T Stepinski. Automated classification of landforms on Mars. Computers and Geosciences.

B Bue, T Stepinski. Machine Detection of Martian Craters from Digital Topography. 37th Annual Lunar and Planetary Science Conference.

Paper Icon Kiri L. Wagstaff, Joshua L. Bandfield, Rebecca Castano, Steve Chien, Michael D. Smith. Dust Storms and Water Ice Clouds: Feature Detection for Use Onboard THEMIS. 37th Lunar and Planetary Science Conference, March 2006. Download PDF (CL #06-0570)

Paper Icon R. Castano, T. Estlin, D. Gaines, A. Castano, B. Bornstein, C. Chouinard, R.C. Anderson, M. Judd. Automated Target selection for Opportunistic Rover Science. 37th Lunar and Planetary Science Conference, March 2006. Download PDF (CL #06-0426)

Paper Icon M.C. Burl, M. Weber, P. Perona. Chapter: A probabilistic approach to object recognition using local photometry and global geometry. Computer Vision --- ECCV'98, in the series Lecture Notes in Computer Science, Vol. 1407/1998, pp. 628--641, Publisher: Springer. (2006)

M.C. Burl, A.H.K. Roeder, C.K. Ohno, E.D. Mjolsness, E.M. Meyerowitz. Automatic Extraction of 3D Nuclear Bounding Surfaces from CLSM Imagery of Developing Arabidopsis Flowers. Workshop on Multiscale Biological Imaging, Data Mining, and Informatics, Santa Barbara, CA. (2006/09/XX)

E. Dobson, A. Braverman, S.J. Graves, M.C. Burl, R. Castano, M. Garay, T. Hinke, C.S. Lynnes, B. Minster, R. Ramachandran. Issues and Applications of Data Mining in Earth Science. Second NASA Data Mining Workshop, Pasadena, CA. (2006/08/XX)

M.C. Burl, D. DeCoste, B.L. Enke, D. Mazzoni, W.J. Merline, L. Scharenbroich. Automated Knowledge Discovery from Simulators. Sixth SIAM Int. Conf. on Data Mining, pp. 695--702. (2006/04/XX)


2005
Paper Icon Clare Averill, Dominic Mazzoni, Jennifer Logan, Lingling Tong, David Diner, Qinbin Li. Combining MISR and MODIS Data to Automatically Catalog Smoke Plumes in North America. The Earth Observer, 17 (6), pp. 11-12, Nov-Dec 2005. Download PDF (CL #05-3292)

A.J. Mannucci, Bruce T Tsurutani, Byron Iijima, Attila Komjathy, Brian Wilson, Xiaoqing Pi, Lawrence Sparks, George Hajj, Lukas Mandrake. Hemispheric daytime ionospheric response to intense solar wind forcing. Inner Magnetosphere Interactions: New Perspectives from Imaging, pp. 261-275.

E. Yizengaw, H. Wei, M. B. Moldwin, D. Galvan, L. Mandrake, A. Mannucci. The Correlation Between Mid-Latitude Trough and the Plasmapause. Geophysical Research Letters, vol 32, L10102, doi:10.1029/2005GL022954, 2005. (05-2201)

Paper Icon Rebecca Castano, Dominic Mazzoni, Nghia Tang, Thomas Doggett, Steve Chien, Ronald Greeley, Ben Cichy , Ashley Davies,. Learning Classifiers for Science Event Detection in Remote Sensing Imagery,. iSAIRAS, Sept 2005. Download PDF (CL #05-2146)

Paper Icon Kiri L. Wagstaff, Henry P. Shu, Dominic Mazzoni, Rebecca Castano. Semi-Supervised Data Summarization: Using Spectral Libraries to Improve Hyperspectral Clustering. The Interplanetary Network Progress Report, vol. 42-163, November 2005. Download PDF (CL #05-3746)

Paper Icon Jon Vandegriff, Kiri Wagstaff, George Ho, Janice Plauger. Forecasting Space Weather: Predicting Interplanetary Shocks Using Neural Networks. Advances in Space Research, vol. 36, p. 2323-2327, November 2005. Download PDF

Paper Icon Qianjun Xu, Marie desJardins, Kiri L. Wagstaff. Active Constrained Clustering by Examining Spectral Eigenvectors. Proceedings of the Eighth International Conference on Discovery Science, October 2005. Download PDF (CL #05-2276)

Paper Icon Kiri L. Wagstaff, Rebecca Castano, Steve Chien, Anton B. Ivanov, Timothy N. Titus. An Onboard Data Analysis Method to Track the Seasonal Polar Caps on Mars. Proceedings of the International Symposium on Artificial Intelligence, Robotics, and Automation in Space, September 2005. Download PDF (CL #05-1883)

Paper Icon Marie desJardins, Kiri L. Wagstaff. DD-PREF: A Language for Expressing Preferences Over Sets. Proceedings of the Twentieth National Conference on Artificial Intelligence, p. 620-626, July 2005. Download PDF (CL #05-1360)

Paper Icon Kiri L. Wagstaff, Dominic Mazzoni, Stephan Sain. HARVIST: A System for Agricultural and Weather Studies Using Advanced Statistical Models. Proceedings of the Earth-Sun Systems Technology Conference, June 2005. Download PDF (CL #05-1370)

Paper Icon Qianjun Xu, Marie desJardins, Kiri Wagstaff. Constrained Spectral Clustering under a Local Proximity Structure. Proceedings of the 18th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, May 2005. Download PDF (CL #05-1165)

Paper Icon D. Mazzoni. LibFeature: A Software Library for Quickly Generating Feature Vectors on the Fly from Structured Data. Proceedings of the Eighth Workshop on Mining Scientific and Engineering Datasets, 2005 SIAM International Conference on Data Mining, April 2005. Download PDF (CL #05-0984) See also: LibFeature software download.

Paper Icon D. Mazzoni, A. Horváth, M. Garay, B. Tang, R. Davies. A MISR Cloud-Type Classifier using Reduced Support Vector Machines. Proceedings of the Eighth Workshop on Mining Scientific and Engineering Datasets, 2005 SIAM International Conference on Data Mining, April 2005. Download PDF (CL #05-1005)

Marie desJardins, Eric Eaton, Kiri Wagstaff. A Context-Sensitive and User-Centric Approach to Developing Personal Assistants. Persistent Assistants: Living and Working with AI (AAAI Spring Symposium), April 2005.

B Bue, T Stepinski. Automated Classification of Landforms in Terra Cimmeria, Mars. 36th Annual Lunar and Planetary Science Conference.

Paper Icon Rebecca Castano, Michele Judd, Tara Estlin, Robert C. Anderson, Daniel Gaines, Andres Castano, Ben Bornstein, Tim Stough, Kiri Wagstaff. Current Results from a Rover Science Data Analysis System. Proceedings of the 2005 IEEE Aerospace Conference, March 2005. Download PDF (CL #05-0185)

Paper Icon Lukas Mandrake, Brian Wilson, Chun-ming Wang, George Hajj, Anthony Mannucci, Xioquing Pi. A performance evaluation of the operational Jet Propulsion Laboratory / University of Southern California Global Assimilation Ionospheric Model (JPL/USC GAIM). Journal of Geophysical Research: Space Physics (1978--2012). Download PDF (CL #05-0886)

L. Mandrake, B.D. Wilson, C. Wang, G.Hajj, A. Mannucci, X. Pi. Performance of the Operational JPL/USC Global Assimilation Ionospheric Model. J. Geophys. Res.11th International Ionospheric Effects Symposium, Alexandria VI, May 3-5, 2005. (05-0799)

Paper Icon Kiri L. Wagstaff, Rebecca Castano, Steve Chien, Anton B. Ivanov, Timothy N. Titus. Towards Onboard Orbital Tracking of Seasonal Polar Volatiles on Mars. 36th Lunar and Planetary Science Conference, March 2005. Download PDF (CL #05-0658)

Paper Icon Rebecca Castano, Kiri Wagstaff, Lin Song, Robert C. Anderson. Validating Rover Image Prioritizations. The Interplanetary Network Progress Report, vol. 42-160, February 2005. Download PDF (CL #05-0810)

David R. Thompson, Trey Smith, David Wettergreen. Data Mining during Rover Traverse: From Images to Geologic Signatures. International Symposium on Artificial Intelligence, Robotics and Automation in Space, 2005.

David R. Thompson, Scott Niekum, Trey Smith, David Wettergreen. Automatic Detection and Classification of Geologic Features of Interest. IEEE Aerospace Conference, Big Sky Montana, 2005.

David R. Thompson, David Wettergreen. Multi-Object Detection with Multiple-View Expectation Maximization Clustering. IEEE Conference on Intelligent Robotics and Systems, 2005.

Paper Icon M. Garay, D. Mazzoni, R. Davies, D. Diner. The Application of Support Vector Machines to the Analysis of Global Datasets from MISR. Proceedings of the Fourth Conference on Artificial Intelligence Applications to Environmental Sciences, American Meteorological Society, San Diego, CA, January 2005. Download PDF (CL #04-3728)

Paper Icon Kiri L. Wagstaff, Victoria G. Laidler. Making the Most of Missing Values: Object Clustering with Partial Data in Astronomy. Astronomical Data Analysis Software and Systems XIV (ADASS), ASP Conference Series, 2005. Download PDF (CL #04-3794)

Lukas Mandrake, B. Wilson, G. Hajj, X. Pi, C. Wang, G. Rosen. Daily Operation and Validation of a Global Assimilative Ionosphere Model. URSI National Radio Science Meeting, Boulder, CO, January 2005. (04-0125)

P. Wetzler, R. Honda, B. Enke, W.J. Merline, C.R. Chapman, M.C. Burl. Learning to Recognize Small Impact Craters. Seventh IEEE Workshop on Applications of Computer Vision (WACV/MOTION'05), pp. 178--184, Breckenridge, CO. (2005/01/XX)


2004
Dominic Mazzoni, Kiri Wagstaff, Rebecca Castano. Using Trained Pixel Classifiers to Select Images of Interest. The Interplanetary Network Progress Report, vol. 42-158, 2004.

Paper Icon Kiri Wagstaff. Clustering with Missing Values: No Imputation Required. Classification, Clustering, and Data Mining Applications (Proceedings of the Meeting of the International Federation of Classification Societies), p. 649-658, 2004. (CL #04-2269)

Paper Icon Stefan Schroedl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson. Mining GPS Traces for Map Refinement. Data Mining and Knowledge Discovery, vol. 9, issue 1, p. 59-87, 2004. Download PDF

Paper Icon K. Wagstaff, R. Castano, S. Dolinar, M. Klimesh, R. Mukai. Science-based Region-of-Interest Image Compression. Lunar and Planetary Science Conference (LPSC), March 2004. Download PDF (CL #04-0107)

A. Lakshmikumar, M. Shivram, M.C. Burl, G. Apte. Joint Appearance and Trajectory-based Data Association for Multi-object Tracking. Sixth IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance, in conjunction with ECCV2004, Prague, Czech Republic. (2004)

M.C. Burl, P. Wetzler. Resource-Constrained Application of Support Vector Machines to Sensor Data. SIAM Workshop on Data Mining in Resource-Constrained Environments, held in conjunction with the Fourth SIAM Int. Conf. on Data Mining, Lake Buena Vista, FL. (2004/04/XX)

M.C. Burl. Mining Patterns of Activity from Video Data. Fourth SIAM Int. Conf. on Data Mining, Lake Buena Vista, FL. (2004/04/XX)


2003
Paper Icon D. DeCoste, D. Mazzoni. Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. International Conference on Machine Learning (ICML), August 2003. Download PS (CL #03-1875)

Paper Icon D. DeCoste. Anytime Query-Tuned Kernel Machines Via Cholesky Factorization. Proceedings of SIAM International Conference on Data Mining, May 2003. Download PS (CL #02-2874)

Paper Icon R. Castano, M. Judd, R. C. Anderson, T. Estlin. Machine Learning Challenges in Mars Rover Traverse Science. . Workshop on Machine Learning Technologies for Autonomous Space Applications, International Conference on Machine Learning, Washington, D.C., August 2003. Download PS (CL #03-1615)

Paper Icon R. Castano, R. C. Anderson, T. Estlin, D. DeCoste, F. Fisher, D. Gaines, D. Mazzoni, M. Judd. Rover Traverse Science for Increased Mission Science Return. Proceedings of the 2003 IEEE Aerospace Conference, Big Sky, Montana, March 2003. Download PDF (CL #02-2872)

S. Chien, R. Sherwood, D. Tran, R. Castano, B. Cichy, A. Davies, G. Rabideau, N. Tang, M. Burl, D. Mandl, S. Frye, J. Hingemihle, J. D'Augustino, R. Bote, B. Trout, S. Schulman, S. Ungar, J. Van Gaasback, D. Boyer, M. Griffin, H. Burke, R. Greeley, T. Doggett, K. Williams, V. Baker, J. Dohm. Autonomous Science on the EO-1 Mission. iSAIRAS, Nara, Japan. (2003/05/XX)

S. Chien, T. Debban, C.-W. Yen, R. Sherwood, R. Castano, B. Cichy, A. Davies, M. Burl, A. Fukunaga, R. Greeley, T. Doggett, K. Williams, V. Baker, J. Dohm. Revolutionary Deep Space Science Missions Enabled by Onboard Autonomy. iSAIRAS, Nara, Japan. (2003/05/XX)


2002
M.C. Burl, T. Vaid, B. Sisk, N.S. Lewis. Classification Performance of Carbon Black-Polymer Composite Vapor Detector Arrays as a Function of Array Size and Detector Composition. Sensors and Actuators B: Chemical. (2002)

B. Shapiro, A. Levchenko, B.J. Wold, E.M. Meyerowitz, E.D. Mjolsness. Cellerator: Extending a computer algebra system to include biochemical arrows for signal transduction modeling. Bioinformatics 19(5):677-678. See paper at bioinformatics.oupjournals.org [external link]. (CL #02-1326) See also: Cellerator home page

Paper Icon D. DeCoste. Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry. International Conference on Machine Learning (ICML), August 2002. Download PS (CL #02-0852)

Paper Icon D. DeCoste, Bernhard Schoelkopf. Training Invariant Support Vector Machines. Machine Learning Journal (MLJ), Volume 46, Number 1-3, 2002. Download PS (CL #00-1762)

Paper Icon J. Fox, R. Castano, R. C. Anderson. Onboard Autonomous Rock Shape Analysis for Mars Rovers. Proceedings of the 2003 IEEE Aerospace Conference, Big Sky, Montana, March 2002. Download PDF (CL #01-2273)

Lukas Mandrake. Computational Studies of Narrow Electron Beams and Oblique Inertial Alfven Waves in a Gravitationally Bound Density Gradient. Doctoral Dissertation, Department of Plasma Physics at the University of California, Los Angeles, July 2002. ()

S. Chien, R. Sherwood, G. Rabideau, R. Castano, A. Davies, M. Burl, R. Knight, T. Stough, J. Roden, P. Zetocha, R. Wainwright, J. Van Gaasback, P. Cappelaere, D. Oswald. The Techsat-21 Autonomous Space Science Agent. Int. Conf. on Autonomous Agents (Agents 2002), Bologna, Italy. (2002/07/XX)

M.C. Burl, B. Sisk, T.P. Vaid, N.S. Lewis. Classification Performance of Carbon Black-Polymer Composite Vapor Detector Arrays as a Function of Array Size and Detector Composition. SPIE Detection and Remediation Technologies for Mines and Mine-like Targets, Vol. 4742, pp. 520-531, Orlando, FL. (2002/04/XX)

T. Vinogradova, M. Burl, E. Mjolsness. Training of a crater detection algorithm for Mars crater imagery. IEEE Aerospace Conference, Big Sky, MT. (2002/03/XX)


2001
T.P. Vaid, M.C. Burl, N.S. Lewis. Comparison of the Performance of Different Discriminant Algorithms in Analyte Discrimination Tasks Using an Array of Carbon Black-Polymer Composite Vapor Detectors. Analytical Chemistry, Vol. 73, No. 2m pp. 321--331. (2001)

M.C. Burl, B.J. Doleman, A. Schaffer, N.S. Lewis. Assessing the Ability to Predict Human Percepts of Odor Quality from the Detector Responses of a Conducting Polymer Composite-Based Electronic Nose. Sensors and Actuators B: Chemical, Vol. 72, No. 2, pp. 149--159. (2001)

Paper Icon B. Shapiro, E. Mjolsness. Developmental Simulations with Cellerator. Second International Conference on Systems Biology (ICSB), Nov 2001 (preprint). Download PDF (CL #01-2064)

Paper Icon W. Fink, R. Castano, A. Davies, E. Mjolsness. Clustering Algorithm for Mutually Constraining Heterogeneous Features. Neural Information Processing Systems (NIPS). Download PDF (CL #01-1569)

Paper Icon E. Mjolsness, D. DeCoste. Machine Learning for Science: State of the Art and Future Prospects. Science 293, pp. 2051-2055, 14 September 2001. Download (PDF) (CL #03-0178)

Paper Icon D. Decoste, M.C. Burl, A. Hopkins, N.S. Lewis. Support Vector Machines and Kernel Fisher Discriminants: A Case Study using Electronic Nose Data. Fourth Workshop on Mining Scientific Datasets, held in conjunction with KDD01. Download PS (CL #01-1676) (2001/08/XX)

Paper Icon R. Sherwood, S. Chien, M.C. Burl, R. Knight, G. Rabideau, B. Engelhardt, A. Davies, P. Zetocha, R. Wainwright, P. Klupar, P. Cappelaere, D. Surka, B. Williams, R. Greeley, V. Baker, J. Doan. The Techsat-21 Autonomous Sciencecraft Constellation Demonstration. Int. Symposium on Artificial Intelligence, Robotics and Automation for Space,. Download (PDF) (CL #01-1687) (CL #01-0917) (2001/06/XX)

Paper Icon B. Shapiro, A. Levchenko, E. Mjolsness. Automatic Model Generation for Signal Transduction with Applications to MAP-Kinase Pathways. in Foundations of Systems Biology, edited by Hiroaki Kitano, MIT Press, Cambridge, Massachusetts. Download (PDF) (CL #00-1655)

S. Briglin, M.C. Burl, M.S. Freund, N.S. Lewis, A. Matzger, D.N. Ortiz, P. Tokamura. Progress in use of Carbon Black Polymer Composite Arrays for Vapor Detection. Proc. of ECS 200th Meeting. (2001/03/XX)

M.C. Burl, S. Chien, R. Sherwood, A. Davies, G. Rabideau, R. Knight, B. Engelhardt, P. Zetocha. Onboard Science Analysis and Replanning for Increased Science Return. AIAA Space 2001 Conf. and Expo.. (2001/08/XX)

M.C. Burl, W.J. Merline, W. Colwell, E.B. Bierhaus, C.R. Chapman. Automated Detection of Craters and Other Geological Features. Int. Symposium on Artificial Intelligence, Robotics and Automation for Space. (2001/06/XX)

E.B. Bierhaus, M.C. Burl, W.J. Merline, W. Colwell, C.R. Chapman. Discrimination of Primary and Secondary Craters based on Appearance. Int. Symposium on Artificial Intelligence, Robotics and Automation for Space. (2001/06/XX)

W.J. Merline, W. Colwell, V. Gor, C.R. Chapman, E.B. Bierhaus, M.C. Burl, P. Tamblyn. Automated Search for Moons of Eros in NEAR Approach Mosaics. Int. Symposium on Artificial Intelligence, Robotics and Automation for Space. (2001/06/XX)

M.C. Burl, S. Briglin, B. Doleman, A. Hopkins, A. Matzger, D.N. Ortiz, A. Schaffer, S. Upchurch, T. Vaid, N.S. Lewis. Mining the Detector Responses of a Conducting Polymer Composite-based Electronic Nose. First SIAM Int. Conf. on Data Mining. (2001)


2000
Lukas Mandrake, Phillip Pritchett, Ferdinand Coroniti. Electron Beam Generated Solitary Structures in a Nonuniform Plasma System. Geophysical Research Letters, Vol. 27, No. 18, pp 2869-2872, 2000. ()

Lukas Mandrake, Phillip Pritchett, Ferdinand Coroniti. Bipolar Electron Beam Structures in the Auroral Region. American Geophysical Union, May 2000. ()

S. Briglin, M.C. Burl, M.S. Freund, N.S. Lewis, D.N. Ortiz, P. Tokumaru. Progress in Use of Carbon Black-Polymer Composite Vapor Detector Arrays for Land Mine Detection. SPIE Aerosense Conference: Detection and Remediation Technologies for Mines and Minelike Targets, Orlando, FL. (2000/04/XX)

S. Briglin, M.C. Burl, M.S. Freund, N.S. Lewis, D.N. Ortiz, P. Tokumaru. Progress in Use of Carbon Black-Polymer Composite Vapor Detector Arrays for Land Mine Detection. SPIE Aerosense Conference: Detection and Remediation Technologies for Mines and Minelike Targets, Orlando, FL. (2000/04/XX)

D. DeCoste, M.C. Burl. Achieving Distortion-invariant Recognition via Jittered Queries. IEEE Comp. Society Conf. on Computer Vision and Pattern Recognition, Hilton Head, SC. (2000/06/XX)


1999
Lukas Mandrake, Phillip Pritchett, Ferdinand Coroniti. Electron Beam Generated Potential Structures Along Auroral Field Lines. American Geophysical Union, December 1999. ()

M.C. Burl, C. Fowlkes, J. Roden. Mining for Image Content. Systemics, Cybernetics, and Informatics/Information Systems: Analysis and Synthesis Conf., (Invited Paper), Orlando, FL. (1999/07/XX)

M.C. Burl, C. Fowlkes, J. Roden, A. Stechert, S. Mukhtar. Diamond Eye: A Distributed Architecture for Image Data Mining. SPIE Aerosense Conference: Data Mining and Knowledge Discovery, Orlando, FL. (1999/04/XX)


1998
M.C. Burl, L. Asker, P. Smyth, U.M. Fayyad, P. Perona, L. Crumpler, J. Aubele. Learning to Recognize Volcanoes on Venus. Machine Learning Journal Special Issue on Knowledge Discovery and Applications, Vol. 30, No. 2/3, pp. 165--194. (1998, Feb/Mar)

M.C. Burl, P. Perona. Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data. IEEE Comp. Society Conf. on Computer Vision and Pattern Recognition, Santa Barbara, CA. (1998/06/XX)

T.K. Leung, M.C. Burl, P. Perona. Probabilistic Affine Invariants for Recognition. IEEE Comp. Society Conf. on Computer Vision and Pattern Recognition, Santa Barbara, CA. (1998/06/XX)

M.C. Burl, M. Weber, P. Perona. A probabilistic approach to object recognition using local photometry and global geometry. Fifth European Conf. on Computer Vision, Freiburg, Germany. (1998/06/XX)


1997
Lukas Mandrake, Walter Gekelman. Large-scale Windows 95-based data-acquisition system using LabVIEW. Computers in Physics, Vol. 11, No. 5, Sep/Oct 1997. ()

L. Mandrake, W. Gekelman, T. Drozdenko, S. Vincena. Experimental Studies of an Alfvénic Pulse. Interrelation Between Plasma Experiments in Laboratory and Space (IPELS) Conference, 1997. ()

M.C. Burl. Recognition of Visual Object Classes. Ph.D. Thesis, Dept. of Electrical Engineering, California Institute of Technology, Pasadena, CA. (1997/06/XX)


1996
M.C. Burl, T.K. Leung, P. Perona. Recognition of planar object classes. Proc. IEEE Comput. Soc. Conf. Comput. Vision and Pattern Recogn.. (1996)


1995
S. Chien, J. Gratch, M. Burl. On the efficient allocation of resources for hypothesis evaluation: A statistical approach. IEEE Trans. Pattern Anal. Mach. Intell., Vol. 17, No. 7, pp. 652--665. (1995)

P. Smyth, M.C. Burl, U.M. Fayyad, P. Perona, P. Baldi. Chapter: Inferring Ground Truth from Subjectively Labeled Images of Venus. Advances in Neural Information Processing Systems 7, Publisher: Morgan Kaufman. (1995)

P. Smyth, M.C. Burl, U.M. Fayyad, P. Perona. Chapter: Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. Advances in Knowledge Discovery and Data Mining, PublisherL AAAI/MIT Press, Menlo Park, CA. (1995)

U.M. Fayyad, P. Smyth, M.C. Burl, P. Perona. Chapter: A Learning Approach to Object Recognition: Applications in Science Image Analysis. Early Visual Learning, Publisher: Oxford University Press. (1995)

M.C. Burl, T.K. Leung, P. Perona. Face localization via shape statistics. Intl. Workshop on Automatic Face and Gesture Recognition, Zurich, Switzerland. (1995)

T.K. Leung, M.C. Burl, P. Perona.. Finding faces in cluttered scenes. Intl. Conf. on Computer Vision, Cambridge, MA. (1995)


1994
M.C. Burl, U.M. Fayyad, P. Perona, P. Smyth. Automated analysis of radar imagery of Venus: Handling lack of ground truth. IEEE Intl. Conf. on Image Proc., Vol III, pp. 236--240. (1994)

M.C. Burl, U.M. Fayyad, P. Perona, P. Smyth, M.P. Burl. Automating the hunt for volcanoes on Venus. Proc. IEEE Comput. Soc. Conf. Computer Vision and Pattern Recognition, Seattle, WA. (1994)

P. Smyth, M.C. Burl, U.M. Fayyad, P. Baldi, P. Perona. Inferring ground truth from subjective labeling of Venus radar images. Neural Info. Processing Systems. (1994)

P. Smyth, M.C. Burl, U.M. Fayyad, P. Perona. Knowledge discovery in large image databases: Dealing with uncertainties in ground truth. Proc. of Knowledge Discovery in Databases. (1994)

S. Chien, J. Gratch, M.C. Burl. A statistical approach to adaptive problem solving for large-scale scheduling and resource allocation problems. Decision-Theoretic Planning Spring Symposium. (1994)


1993
L.M. Novak, M.C. Burl, W.W. Irving. Optimal polarimetric processing for enhanced target detection. IEEE Trans. on AES, Vol. 29, No. 1, pp. 234--244. (1993/01/XX)


1992
M.B. Sechtin, M.C. Burl. Multiple Image Processing to Enhance Stationary Target Detection. SPIE- Synthetic Aperture Radar, Vol. 1630, pp. 86--98. (1992/05/XX)


1991
L.M. Novak, M.C. Burl, W.W. Irving, G.J. Owirka. Optimal polarimetric processing for enhanced target detection. AES Conference on Telemetry, Atlanta, GA. (1991)


1990
L.M. Novak, M.C. Burl. Optimal speckle reduction in polarimetric SAR imagery. IEEE Trans. on AES, Vo. 26, No. 2, pp. 293--305. (1990/03/XX)

R. Chaney, M.C. Burl, L.M. Novak. On the performance of polarimetric target detection algorithms. Radar '90 Conference, Arlington, VA. (1990)

L.M. Novak, M.C. Burl. Optimal polarimetric processing of MMW SAR imagery. SPIE Conference on Polarimetry, Huntsville, AL. (1990//05/XX)


1989
M.C. Burl, G.J. Owirka, L.M. Novak. Texture discrimination in synthetic aperture radar imagery. Proc. 23rd Asilomar Conf., Pacific Grove, CA. (1989/10/XX)

L.M. Novak, M.C. Burl. Optimal speckle reduction and its effect on target detection. SPIE Conference, Orlando, FL. (1989/03/XX)


1988
L.M. Novak, M.C. Burl. Optimal speckle reduction in polarimetric SAR imagery. Proc. 22nd Asilomar Conf., Pacific Grove, CA. (1988/11/XX)

L.M. Novak, M.C. Burl, G.J. Owirka. Target detection algorithms that use polarimetric data: New results. Proc. MICOM Polarimetric Workshop, Huntsville, AL. (1988/08/XX)