Machine Learning Systems
Photo of Kiri Wagstaff

Dr. Kiri Wagstaff

Mail Stop 306-463
4800 Oak Grove Drive
Pasadena, CA 91109

Office: 306-466
Phone: (818) 393-6393
FAX: (818) 393-1190
Email: kiri.wagstaff@jpl.nasa.gov
Web page: http://www.wkiri.com/ [External link]
Research interests
and projects:
Clustering algorithms, support vector machines,
semi-supervised learning, on-board science analysis methods,
automated tracking of Martian polar volatiles using THEMIS data,
hyperspectral image summarization

Publications:

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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 Cliassification of Geologic Surfaces. Astrobiology. (Download PDF) (CL#14-1546)

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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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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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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, 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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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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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 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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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 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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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 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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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)

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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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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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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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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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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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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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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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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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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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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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)

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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)

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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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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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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 ()

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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)

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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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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)

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.

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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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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)

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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)

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)