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2009 |
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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. 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. International Joint Conference on Artificial Intelligence Workshop on AI in Space, August 2009. Download PDF (CL #09-3096) | |
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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. 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. 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) | |
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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) | |
2008 |
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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) | |
| 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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| 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. | ||
| 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, p. 159-171. | ||
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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, p. 149-158. Abstract/PDF (ScienceDirect) (CL #07-0026) | |
| 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, p. 138-148. | ||
| B Bue and TF Stepinski. Machine detection of martian impact craters from digital topography data. IEEE Transactions on Geoscience and Remote Sensing. | ||
| 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) | |
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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) | |
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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) | |
2004 |
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| 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 |
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| 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) | |
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 |
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| 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. Download (PDF) () | |
1997 |
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| Lukas Mandrake, Walter Gekelman. Large-scale Windows 95-based data-acquisition system using LabVIEW. Computers in Physics, Vol. 11, No. 5, Sep/Oct 1997. Download (PDF) () | |
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The rest of the papers below are not available online in electronic form. If you need one of these papers and can't find it on CiteSeer, please contact the original author. |
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| 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. . | ||
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E. Mjolsness, T. Mann, R. Castaņo, 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. . | ||
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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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Eric Mjolsness and Charles Garrett. Algebraic Transformations of Objective Functions.. Neural Networks, Vol. 3, No. 6, 1990, pp. 651-669. | ||
1989 |
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| 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. | ||
