Machine Learning Systems

2014

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

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

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

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D. R. Thompson, S. Burke-Spolaor, A. T. Deller, D. Palaniswamy, S. J. Tingay, K. L. Wagstaff, and R. B. Wayth. Real-Time Adaptive Event Detection in Astronomical Data Streams. IEEE Intelligent Systems, 29(1):48-55. (Link to publisher's page) (CL#13-0317)

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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)

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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. (Download PDF) (CL#14-1546)

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Raymond Francis, Kenneth McIsaac, David R. Thompson, and 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)

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Raymond Francis, Kenneth McIsaac, David R. Thompson, and 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)

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

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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. (Download PDF) (CL#14-0456)

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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. (Link to publisher's page) ()

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


2013

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

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

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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)

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Kiri L. Wagstaff, David R. Thompson, William Abbey, Abigail Allwood, Dmitriy L. Bekker, Nathalie A. Cabrol, Thomas Fuchs, and 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)

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David R. Thompson, Nathalie A Cabrol, Michael Furlong, Craig Hardgrove, Bryan K. Low, Jeff Moersch, and 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)

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Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, and 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)

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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)

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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, and 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)

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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, and 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)

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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)


2012

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David R. Thompson, Benjamin J. Bornstein, Steve A. Chien, Steven Schaffer, Daniel Tran, Brian D. Bue, Rebecca Castaño, Damhnait F. Gleeson, and 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)

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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)

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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)

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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)

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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)

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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)

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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)

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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 ()

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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, and Y. L. Yung. The ACOS CO2 retrieval algorithm - Part II: Global XCO2 data characterization, Atmospheric Measurement Techniques. Atmospheric Measurement Techniques, 2012. Download PDF ()

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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)

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

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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)

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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)

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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)

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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)

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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)


2011

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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, and S. C. Wofsy. A method for evaluating bias in global measurements of CO2 total columns from space. Atmospheric Chemistry and Physics, 2011. Download PDF ()

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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)

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Dayton L. Jones, Kiri L. Wagstaff, David R. Thompson, Larry D'Addario, Robert Navarro, Chris Mattman, Walid Majid, Umaa Rebbapragada, Joseph Lazio, and 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)

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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)

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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)

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

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

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

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Benjamin Bornstein and David R. Thompson and Daniel Tran and Brian Bue and Steve Chien and 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)

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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)

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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)

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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)

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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)

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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)

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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)

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Mary Pendleton Hoffer, Ronald Greeley, Kiri L. Wagstaff, and 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)

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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)

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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)

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

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M. R. Darrach and A. Chutjian and Benjamin Bornstein and A. P. Croonquist and V. Garkanian and V. R. Haemmerle and J. Hofman and W. M. Heinrichs and D. Karmon and J. Kenny and R. D. Kidd and S. Lee and J. A. MacAskill and S. M. Madzunkov and Lukas Mandrake and T. M. Rust and R. T. Schaefer and J. L. Thomas and 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 ()


2010

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

D. F. Gleeson and R. T. Pappalardo and S. E. Grasby and M. S. Anderson and B. Beauchamp and R. Castano and S. A. Chien and T. Doggett and L. Mandrake and 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.

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

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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)

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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)

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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)

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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)

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Kiri Wagstaff and 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)

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Marie desJardins, James MacGlashan, and 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)

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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)

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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)

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

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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)

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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)


2009

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

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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)

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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)

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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)

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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)

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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 ()

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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)

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David R. Thompson, David Wettergreen and 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)

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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)

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David R. Thompson, Rebecca Castano and 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)

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

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Robert Granat, Kiri L. Wagstaff, Benjamin Bornstein, Benyang Tang, and 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)

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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 Presentation, July 2009. Download PPT (CL #09-2372)

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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)

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Kiri L. Wagstaff and 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)

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Kiri L. Wagstaff and 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.]

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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)

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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)

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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)


2008

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A. Chutjian and M. R. Darrach and Benjamin Bornstein and A. P. Croonquist and E. Edgu-Fry and D. J. Fry and V. Garkanian and M. A. Girard and and V. R. Haemmerle and W. M. Heinrichs and R. D. Kidd and S. Lee and J. A. MacAskill and S. M. Madzunkov and Lukas Mandrake and T. M. Rust and R. T. Schaefer and J. L. Thomas and N. Toomarian and 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.

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Umaa Rebbapragada, Lukas Mandrake, Kiri L. Wagstaff, Damhnait Gleeson, Rebecca Castano, Steve Chien, and 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)

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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. Download PDF (CL)

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. 4th International Conference on Intelligent Environments (IE 08) (CP541). (CL)

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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)

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Kiri L. Wagstaff, Terran Lane, and 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)

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

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

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

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

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

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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, and 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. ()

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Rebecca Castano, Kiri Wagstaff, Damhnait Gleeson, Robert Pappalardo, Steve Chien, Daniel Tran, Lucas Scharenbroich, Baback Moghaddam, Benyang Tang, Brian Bue, Thomas Doggett, Dan Mandl, and 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)

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Kiri L. Wagstaff, Edward Benowitz, DJ Byrne, Ken Peters, and 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 and David R. Thompson and 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 and David Wettergreen. Intelligent Maps for Autonomous Kilometer-Scale Site Survey. International Symposium on Artificial Intelligence, Robotics and Automation in Space (ISAIRAS), 2008.

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

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Kiri L. Wagstaff, Timothy N. Titus, Anton B. Ivanov, and 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)


2007

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

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

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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)

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

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Rebecca Castano, Kiri L. Wagstaff, Steve Chien, Timothy M. Stough, and 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)

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Kiri L. Wagstaff and 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)

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Rebecca Castano, Tara Estlin, Robert C. Anderson, Daniel M. Gaines, Andres Castano, Benjamin Bornstein, Caroline Chouinard, and 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 and David R. Thompson and 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 and Rebecca Castano. A Performance Comparison of Rock Detection Algorithms. IEEE Aerospace Conference, Big Sky Montana, 2007.

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

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Yuekui Yang, Larry Di Girolamo, and 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)

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Dominic Mazzoni, Jennifer A. Logan, David Diner, Ralph Kahn, Lingling Tong, and 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)

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Dominic Mazzoni, Michael J. Garay, Roger Davies, and 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 and TF Stepinski. Machine detection of martian impact craters from digital topography data. IEEE Transactions on Geoscience and Remote Sensing.

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


2006

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

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Ian Davidson, Kiri L. Wagstaff, and 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)

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Kiri L. Wagstaff, Sugato Basu, and 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)

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Marie desJardins, Eric Eaton, and 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)

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Kiri Wagstaff and 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 and Trey Smith and 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 and T Stepinski. Automated classification of landforms on Mars. Computers and Geosciences.

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

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Kiri L. Wagstaff, Joshua L. Bandfield, Rebecca Castano, Steve Chien, and 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)

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


2005

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Clare Averill, Dominic Mazzoni, Jennifer Logan, Lingling Tong, David Diner, and 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)

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)

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

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Kiri L. Wagstaff, Henry P. Shu, Dominic Mazzoni, and 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)

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

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Qianjun Xu, Marie desJardins, and 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)

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Kiri L. Wagstaff, Rebecca Castano, Steve Chien, Anton B. Ivanov, and 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)

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Marie desJardins and 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)

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Kiri L. Wagstaff, Dominic Mazzoni, and 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)

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Qianjun Xu, Marie desJardins, and 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)

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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.

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

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Rebecca Castano, Michele Judd, Tara Estlin, Robert C. Anderson, Daniel Gaines, Andres Castano, Ben Bornstein, Tim Stough, and 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)

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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). J. Geophys. Res., 110, A12306, 2005. 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)

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Kiri L. Wagstaff, Rebecca Castano, Steve Chien, Anton B. Ivanov, and 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)

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Rebecca Castano, Kiri Wagstaff, Lin Song, and 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, and 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, and David Wettergreen. Automatic Detection and Classification of Geologic Features of Interest. IEEE Aerospace Conference, Big Sky Montana, 2005.

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

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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)

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Kiri L. Wagstaff and 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)


2004

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

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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)

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

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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)


2003

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D. DeCoste and 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)

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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)

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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)

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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)


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

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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)

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

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J. Fox, R. Castano, and 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. ()

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


2001

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

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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)

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E. Mjolsness and 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)

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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, Aug 2001. Download PS (CL #01-1676)

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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, Jun 2001. Download (PDF) (CL #01-1687) (CL #01-0917)

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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)


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. ()


1999

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


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. ()


The rest of the papers below are not available here in electronic form. If you need one of these papers and can't find it online, please contact the original author.

M.C. Burl, S. Chien, R. Sherwood, T. Stough, A. Davies, P. ZXetocha. Onboard Science Analysis and Replanning for Increased Science Return. AIAA Space 2001 Conf. and Expo., Aug 2001. CL #01-1257 .

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, Jun 2001. CL #01-1008 .

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. in Analytical Chemistry, 73(2), pp. 321-331, 2001. .

M.C. Burl, B.J. Doleman, A. Schaffer and 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. in Sensors and Actuators B: Chemical, (72)2, pp. 149-159, 2001. .

M.C. Burl, chapter. Mining Large Image Collections. in Data Mining for Scientific and Engineering Applications, R. Grossman, C. Kamath, V. Kumar and R. Namburu (Eds). in the series Massive Computing, Kluwer Academic Publishers, 2001. .

M.C. Burl. Mining NASA's Large Image Collections. Invited Paper, Joint Statistical Meetings, Session on Mining Large Datasets, Aug 2000. .

Chien-Ping Lu, Eric Mjolsness, and Gregory D. Hager. Fast and Globally Convergent Pose Estimation from Video Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22 No. 6, pp. 610-622, June 2000.

E. Mjolsness and A. Tavormina. The synergy of biology, intelligent systems, and space exploration. in IEEE Intelligent Sysetms, April-May 2000. .

M.C. Burl, D. Lucchetti. Autonomous Visual Discovery. in SPIE Aerosense Conference on Data Mining and Knowledge Discovery, (abstract) .

M.C. Burl, C. Fowlkes, J. Roden. Mining for Image Content. in Systemics, Cybernetics, and Informatics / Information Systems: Analysis and Synthesis, (Orlando, FL), July 1999. (abstract) .

J. Roden, M.C. Burl, C. Fowlkes. The Diamond Eye Image Mining System. Demo for the Scientific and Statistical Database Management Conference, (Cleveland, OH), June 1999. (abstract) .

M.C. Burl, C. Fowlkes, J. Roden, A. Stechert, S. Mukhtar. Diamond Eye: A Distributed Architecture for Image Data Mining. in SPIE AeroSense Conference on Data Mining and Knowledge Discovery, (Orlando, FL), April 1999. (abstract) .

R. Castano, T. Mann, E. Mjolsness. Texture Analysis for Mars Rover Images. in Applications of Digital Image Processing XXII, Proc. of SPIE Vol. 3808, Denver, CO, July 1999, pp. 162-173. .

E. Mjolsness, T. Mann, R. Castao, B. Wold. From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression Data.
.
In: Neural Information Processing Systems (NIPS) 1999.
Also avail. as Technical Report JPL-ICTR-99-4. .

E. Mjolsness, E. Meyerowitz, V. Gor, T. Mann. Morphogenesis in Plants: Modeling the Shoot Apical Meristem, and Possible Applications. .
In: First NASA/DoD Workshop on Evolvable Hardware 1999, IEEE Computer Society.
Also avail. as Technical Report JPL-ICTR-99-6. .

Tara A. Estlin, Alexander G. Gray, Tobias P. Mann, Gregg Rabideau, Rebecca Castano, Steve Chien, and Eric D. Mjolsness. An Integrated System for Multi-Rover Scientific Exploration. , accepted for AAAI-99, 1999. .

E. Mjolsness, R. Castano, T. Mann, J. Roden, A. Gray, B. Wold. Clustering Methods for the Analysis of C. elegans Gene Expression Array Data. Technical Report JPL-ICTR-99-1.

E. Mjolsness. Trainable Gene Regulation Networks with Applications to Drosophila Pattern Formation. Computational Methods for Molecular and Cellular Biology, eds. J. M. Bower and H. Bolouri, MIT Press.. Also avail. as Technical Report JPL-ICTR-99-2

M. Gibson and E. Mjolsness. Modeling the Activity of Single Genes. Computational Methods for Molecular and Cellular Biology, eds. J. M. Bower and H. Bolouri, MIT Press. Also avail. as Technical Report JPL-ICTR-99-3

Anand Rangarajan, Alan Yuille, and Eric Mjolsness. Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Computation, 1999. .

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

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

M.C. Burl, M. Weber, P. Perona. A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry. in European Conf. on Computer Vision, June 1998. (abstract) .

M.C. Burl. System Finds Objects of Interest in an Image Data Base. in NASA Tech Briefs, April 1998. .

M.C. Burl, L. Asker, P. Smyth, U. Fayyad, P. Perona, J. Aubele, and L. Crumpler. Learning to Recognize Volcanoes on Venus. . Machine Learning, April 1998. .

M. S. Gilmore, R. S. Saunders, R. Castaño T. Mann, E. Mjolsness, and T. L. Roush. Spectroscopic Measurements at Silver Lake, CA Testbed for the FIDO Rover.. American Geophysical Union annual meeting abstracts, 1998. .

Eric Mjolsness and Willard L. Miranker. A Lagrangian Formulation of Neural Networks I: Theory and Analog Dynamics.. Neural, Parallel and Scientific Computations Vol 6 No. 3, pp. 297-336, 1998. .

Willard L. Miranker and Eric Mjolsness. A Lagrangian Formulation of Neural Networks II: Clocked Objective Functions and Applications.. Neural, Parallel and Scientific Computations, Vol 6 No. 3, pp. 337-372, 1998. .

Steven Gold, Chien-Ping Lu. New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence.. Pattern Recognition Vol. 31 No. 8, pp. 1019-1031 August 1998. .

Kurt Thearling, Barry Becker, Dennis DeCoste, Bill Mawby, Michel Pilote, Dan Sommerfield. Visualizing data mining models (HTML).. To appear as chapter in Issues in the Integration of Data Mining and Data Visualization WWW site). Springer-Verlag, 1998. .

P. Smyth, M. Ghil, and K. Ide. Multiple regimes in Northern hemisphere height fields via mixture model clustering.. UC Irvine Technical Report UCI-ICS 98-08, 1998. .

P. Smyth. Model selection for probabilistic clustering using cross-validated likelihood.. UC Irvine Technical Report UCI-ICS 98-09, 1998. .

G. Marnellos and E. Mjolsness. A Gene Network Model of Resource Allocation to Growth and Reproduction.. Artificial Life VI, eds. C. Adami, R. K. Belew, H. Kitano, and C. E. Taylor, MIT Press, 1998. .

G. Marnellos and E. Mjolsness. Probing the Dynamics of Cell Differentiation in a Model of Drosophila Neurogenesis.. Artificial Life VI, eds. C. Adami, R. K. Belew, H. Kitano, and C. E. Taylor, MIT Press, 1998.

G. Marnellos and E. Mjolsness. 1997. in Pacific Symposium on Biocomputing, eds. R. B. Altman, A. K. Dunker, L. Hunter and T. Klein, World Scientific, 1998. .

M.C. Burl. Recognition of Visual Object Classes. Ph.D. Thesis, California Institute of Technology, Dept. of Electrical Engineering,June 1997. (abstract) .

Eric Mjolsness. Symbolic Neural Networks Derived from Stochastic Grammar Domain Models.. in Connectionist Symbolic Integration, eds. R. Sun and F. Alexandre, Lawrence Erlbaum Associates, 1997. .

Anand Rangarajan, Haili Chui, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, and James S. Duncan. A Robust Point Matching Algorithm for Autoradiograph Alignment.. Medical Image Analysis, Vol 1 No 4, 1997.

C. E. Brodley and P. Smyth. Applying classification algorithms in practice.. Statistics and Computing,, 7(1), 1997, pp. 45-56. .

Steve Chien, Dennis DeCoste, Richard Doyle, Paul Stolorz. Making an impact: Artificial intelligence at the Jet Propulsion Laboratory.

Dennis DeCoste. Automated learning and monitoring of limit functions. . Proceedings of the Fourth International Symposium on Artificial Intelligence, Robotics, and Automation for Space, 1997. .

Dennis DeCoste. Mining multivariate time-series sensor data to discover behavior envelopes. . Proceedings of the Third Conference on Knowledge Discovery and Data Mining, 1997. .

C. Glymour, D. Madigan, D. Pregibon, and P. Smyth. Statistical themes and lessons for data mining.. Journal of Data Mining and Knowledge Discovery, 1997. .

P. Smyth. Bounds on the mean classification error rate of multiple experts.. Pattern Recognition Letters, 1997. .

P. Smyth and D. Wolpert. Stacked density estimation.. UC Irvine Technical Report UCI-ICS 97-36, 1997 (also presented at NIPS 97). .

P. Smyth. Clustering sequences with hidden Markov models.. In Advances in Neural Information Processing 9, M. C. Mozer, M. I. Jordan, and T. Petsche (eds.), MIT Press, 1997. .

P. Smyth, D. Heckerman, and M. Jordan. Probabilistic independence networks for hidden Markov models.. Neural Computation, Vol. 9, 1997. .

M. Turmon and J. Pap. Segmenting chromospheric images with Markov random fields.. In Statistical Challenges in Modern Astronomy II,, eds. G. J. Babu and E. D. Feigelson, Springer, 1997, pp. 409-411. .

M. Turmon, S. Mukhtar, and J. Pap. Bayesian inference for identifying solar active regions.. Proc. Third Conf. on Knowledge Discovery and Data Mining,, 1997. .

M. Turmon, S. Mukhtar. Recognizing chromospheric objects via Markov chain Monte Carlo.. Proc. IEEE ICIP,, 1997. .

Anand Rangarajan, Alan Yuille, Steven Gold and Eric Mjolsness. A Convergence Proof for the Softassign Quadratic Assignment Algorithm.. Advances in Neural Information Processing Systems 9. M. Mozer, M. Jordan, and T. Petsche, eds. MIT Press, 1997.


1996

M.C. Burl, U.M. Fayyad, P. Perona, P. Smyth. Trainable Cataloging for Digital Image Libraries with Applications to Volcano Detection. CNS Tech Report: CNS-TR-96-01, California Institute of Technology, October 1996. (abstract) .

M.C. Burl, P. Perona. Recognition of Planar Object Classes. In IEEE Comp. Society Conf. on Computer Vision and Pattern Recognition, (San Francisco, CA), June 1996. (abstract) .

U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurasamy (eds.). Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 1996.

Dimitris I. Tsioutsias and Eric Mjolsness. A Multiscale Attentional Framework for Relaxation Neural Networks.. Advances in Neural Information Processing Systems 8, MIT Press, 1996.

Anand Rangarajan, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic and James S. Duncan. A Robust Point Matching Algorithm for Autoradiograph Alignment.. Visualization in Biomedical Computing (VBC), K. H. Hohne and R. Kikinis editors, pp. 277-286, 1996.

Anand Rangarajan and Eric Mjolsness. A Lagrangian Relaxation Network for Graph Matching.. IEEE Transactions on Neural Networks, Vol 7 No 6, November 1996.

Anand Rangarajan, Steven Gold, and Eric Mjolsness. A Novel Optimizing Network Architecture with Applications.. Neural Computation, Vol 8 No 5, July 1996.

Steven Gold, Anand Rangarajan, and Eric Mjolsness. Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures.. Neural Computation, Vol 8 No 4, May 15 1996.

Chien-Ping Lu, Eric Mjolsness, and Gregory D. Hager. Online Computation of Exterior Orientation with Application to Hand-Eye Calibration.. Mathematical and Computer Modelling Journal, Vol. 24 No. 5-6, pp. 121-43, September 1996.

C. Glymour, D. Madigan, D. Pregibon, and P. Smyth. Data mining and statistics.. Special Issue on Data Mining: Communications of the ACM,, November 1996. .

M. Turmon. Identification of solar features via Markov random fields.. Proc. Second Meeting of International Association for Statistical Computing (IASC-2),, 1996. .

Stolorz, P.. On the Generalization of Deterministic Annealing as Constrained Optimisation.. JPL report, 1996. .

I. Hovacker, M. Huynen, P. Stadler and P. Stolorz. RNA Folding on Massively Parallel Computers.. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, AAAI Press, Portland, OR, 1996, 20-25. .


1995

M.C. Burl,T.K. Leung, P. Perona. Face Localization via Shape Statistics. In Intl. Workshop on Automatic Face and Gesture Recognition, (Zurich, Switzerland), June 1995. (abstract) .

John Reinitz, Eric Mjolsness and David H. Sharp. Model for Cooperative Control of Positional Information in Drosophila by bcd and Maternal hb. Journal of Experimental Zoology 271:47-56, 1995.

T.K. Leung, M.C Burl, P. Perona. Finding Faces in Cluttered Scenes Using Labeled Random Graph Matching. In Intl. Conf. on Computer Vision, (Cambridge, MA), June 1995. (abstract) .

S.A. Chien, J.M. Gratch, M.C Burl. On the Efficient Allocation of Resources for Hypothesis Evaluation: A Statistical Approach. In IEEE Trans. on Pattern Analysis and Machine Intelligence, 17 (7): pp. 652-665, July 1995. (abstract) .

Eric Mjolsness, Charles D. Garrett, John Reinitz, and David H. Sharp. Modeling the Connection between Development and Evolution: Preliminary Report.. in Evolution and Biocomputation: Computational Models of Evolution, eds. Wolfgang Banzhaf and Frank H. Eeckman, Lecture Notes in Computer Science, Springer, Berlin, 1995.

P. Smyth, U. Fayyad, M. Burl, P. Perona, P. Baldi. Inferring Ground Truth from Subjective Labelling of Venus Images.. In Advances in Neural Information Processing Systems 7, MIT Press, 1995. .

P. Smyth, A. Gray, U. Fayyad. Retrofitting Decision Tree Classifiers using Kernel Density Estimation.. In Proceedings of the 1995 Machine Learning Conference, 1995. .

M. Turmon and T.L. Fine. Sample size requirements of feedforward neural networks.. In Advances in Neural Information Processing Systems 7, MIT Press, 1995. .

M. Turmon and T.L. Fine. Empirically estimating generalization ability of feedforward neural networks.. In Proc. World Conf. Neural Networks, INNS Press, 1990, pp. 600-605. .

M. Turmon and T.L. Fine. Generalization in feedforward neural networks.. In Proc. 1995 IEEE Intl. Symp. Info. Theory, IEEE, 1995. .

Steven Gold, Chien-Ping Lu. Anand Rangarajan, Suguna Pappu and Eric Mjolsness. New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence.. Advances in Neural Information Processing Systems 7, editors Tesauro, Touretzky, Leen, MIT Press 1995.

Steven Gold, Anand Rangarajan, and Eric Mjolsness. Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures.. Advances in Neural Information Processing Systems 7, editors Tesauro, Touretzky, Leen, MIT Press, 1995.

P. Stolorz, E. Mesrobian, R. Muntz, E. Shek, J. Santos, J. Yi, K. Ng, S.-Y. Chien, H. Nakamura, C. Mechoso and J. Farrara. Fast Spatio-Temporal Data Mining of Large Geophysical Datasets. . Proceedings of the First International Conference on Knowledge Discovery and Data Mining, AAAI Press, Montreal, 1995, 300-305. .


1994

A. Yuille, P. Stolorz and J. Utans. Statistical Physics, Mixtures of Distributions and the EM Algorithm.. Neural Computation 6, 1994, 332-338. .

Eric Mjolsness. Connectionist Grammars for High-Level Vision.. in Artificial Intelligence and Neural Networks: Steps Toward Principled Integration, eds. Vasant Honavar and Leonard Uhr, Academic Press, 1994.

Dimitris I. Tsioutsias and Eric Mjolsness. Optimization Dynamics for Partitioned Neural Networks.. International Journal of Neural Systems, December 1994.

C. Burks, M.L. Engle, S. Forrest, R.J. Parsons, C.A. Soderlund and P.E. Stolorz. Stochastic Optimization Tools for Genomic Sequence Assembly.. In Automated DNA Sequencing and Analysis, ed. M.D. Adams, C. Fields and J.C. Venter, Academic Press, 1994, pp. 249-259. .

M.C. Burl, U. Fayyad, P. Smyth, P. Perona, M.P. Burl. Automating the hunt for volcanoes on Venus.. In IEEE Comp. Society Conf. on Computer Vision and Pattern Recognition, (Seattle, WA), June 1994. (abstract) .

P. Smyth. Markov monitoring with unknown states.. IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Intelligent Signal Processing for Communications, December 1994. .

M. Turmon and M.I. Miller. Maximum-Likelihood Estimation of Complex Sinusoids and Toeplitz Covariances.. IEEE Trans. Signal Processing,, May 1994, pp. 1074-1086. .

Steven Gold, Anand Rangarajan, and Eric Mjolsness. Clustering with a Domain-Specific Distance Measure.. Advances in Neural Information Processing Systems 6, editors Cowan, Tesauro, Alspector, Morgan-Kaufmann 1994.

Chien-Ping Lu and Eric Mjolsness. Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching.. Advances in Neural Information Processing Systems 6, editors Cowan, Tesauro, Alspector, Morgan-Kaufmann 1994.

Stolorz, P.. Recursive Approaches to the Statistical Physics of Lattice Proteins.. Proceedings of the 27th Hawaii International Conference on System Sciences, Vol V, ed. L. Hunter, 1994, 316-325. .


1993

Willard L. Miranker and Eric Mjolsness. Accelerating Neural Net Dynamics by Boundary Layer Methods.. Applied Mathematics Letters, Vol 6, No 3, pp. 85-89, 1993.

David H. Sharp, John Reinitz, and Eric Mjolsness. Multiscale Models of Developmental Processes. . Open Systems and Information Dynamics, Vol 2 No 1, pp. 1-10, Nicholas Copernicus University Press, Torun, Poland, 1993.

Przemyslaw Prusinkiewicz, Mark S. Hammel, and Eric Mjolsness. Animation of Plant Development.. SIGGRAPH '93 Conference Proceedings, 1993.


1992

Joy Hirsch and Eric Mjolsness. A Center-of-Mass Computation Describes the Precision of Random Dot Displacement Discrimination.. Vision Research, Vol 32 No 2, pp 335-346, February 1992.

John Reinitz, Eric Mjolsness and David H. Sharp. A Connectionist Model of the Drosophila Blastoderm. In The Principles of Organization in Organisms, ed. Jay E. Mittenthal and Arthur B. Baskin, Santa Fe Institute Studies in the Sciences of Complexity, Addison-Wesley 1992.

Eric Mjolsness. Visual Grammars and Their Neural Nets.. Advances in Neural Information Processing Systems 4, editors Moody, Hanson and Lippmann, pp. 428-435, Morgan-Kaufman 1992.

P. Stolorz. Merging Constrained Optimisation with Deterministic Annealing to Solve Combinatorially Hard Problems.. Advances in Neural Information Processing Systems 4, Morgan Kaufmann, 1992, 1025-1032. .


1991

Gene Gindi, Eric Mjolsness, and P. Anandan. Neural Networks for Model-Based Recognition.. in Neural Networks: Concepts, Applications, and Implementations, Volume III, eds. P. Antognetti and V. Milutinovic, pp 144-173, Prentice Hall 1991.

Eric Mjolsness, Charles Garrett, and Willard Miranker. Multiscale Optimization in Neural Networks.. IEEE Transactions on Neural Networks, Vol. 2, No. 2, March 1991. .

Eric Mjolsness, David H. Sharp, and John Reinitz. A Connectionist Model of Development.. Journal of Theoretical Biology, Vol. 152, No. 4, 1991, pp. 429-454. .

Eric Mjolsness. Bayesian Inference on Visual Grammars by Neural Nets that Optimize.. Yale Computer Science Department TR 854, May 1991.

Eric Mjolsness and Willard L. Miranker. A Lagrangian Approach to Fixed Points.. Advances in Neural Information Processing Systems 3, editors Lippmann, Moody and Touretsky, Morgan-Kaufman 1991.


1990

Eric Mjolsness and Charles Garrett. Algebraic Transformations of Objective Functions.. Neural Networks, Vol. 3, No. 6, 1990, pp. 651-669.


1989

P. Anandan, Stanley Letovsky, and Eric Mjolsness. Connectionist Variable-Binding by Optimization.. Cognitive Science conference proceedings, August 1989.

Eric Mjolsness, David H. Sharp, and Bradley K. Alpert. Scaling, Machine Learning, and Genetic Neural Nets.. Advances in Applied Mathematics, June 1989. .

Eric Mjolsness, Gene Gindi, and P. Anandan. Neural Networks for Model Matching and Perceptual Organization.. Advances in Neural Information Processing Systems 1, editor David S. Touretsky, Morgan-Kaufman 1989.

Eric Mjolsness, Gene Gindi, and P. Anandan. Optimization in Model Matching and Perceptual Organization.. Neural Computation, Vol 1 No 2, Summer 1989.