Publications

Abhishek Jaiantilal, Greg Grudic, Topology Based fuzzy Clustering, In preperation, 2007 ( pdf )

Abhishek Jaiantilal, Greg Grudic, Fuzzy Clustering using Topological properties, In preperation, 2007 ( pdf )

Michael Procopio, Greg Grudic, Jane Mulligan, Using binary classifiers to augment stereo vision for enhanced autonomous robot navigation, University of Colorado at Boulder, Boulder, Colorado 80309-430, Tech. Rep. CU-CS-1027-07, 2007 ( pdf )

Avleen Bijral, Markus Breitenbach, Greg Grudic, Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings, Accepted to AISTATS, 2007 ( pdf )

Avleen Bijral, Adam Bates, Greg Grudic, Semi-supervised Path Identification using Markov Random Walks, Submitted Robotics Science and Systems, 2007 ( pdf )

Avleen Bijral, Greg Grudic, On Clustering High Dimensional Unit Norm Data, In preparation., 2007 ( pdf )

Greg Grudic, Jane Mulligan, Outdoor Path Labeling Using Polynomial Mahalanobis Distance, Robotics: Science and Systems II, 2006 ( pdf )

Jane Mulligan, Greg Grudic, Topological Mapping from Image Sequences, Submitted, n Proceedings of the IEEE Workshop on Learning in Computer Vision and Pattern Recognition (with CVPR05), 2005 ( pdf )

Greg Grudic, Jane Mulligan, Topological mapping with multiple visual manifolds, Robotics: Science and Systems I, 2005 ( pdf )

Markus Breitenbach, Greg Grudic, Clustering Through Ranking On Manifolds, ICML, 2005 ( pdf )

Markus Breitenbach, Greg Grudic, Clustering with Local and Global Consistency, Submitted, Also Available as Technical Report CU-CS-973-04, 2004 ( pdf )

Adam Vinueza, Greg Grudic, Unsupervised Outlier Detection and Semi-Supervised Learning, Submitted, Also Available as Technical Report CU-CS-976-04, 2004 ( pdf )

Greg Grudic, Predicting the Probability of Correct Classification, Submitted, Also Available as Technical Report CU-CS-974-04, 2004 ( pdf )

Greg Grudic, Probabilistic Regression Using Basis Function Models, Submitted, Also Available as Technical Report CU-CS-975-04, 2004 ( pdf )

Markus Breitenbach, Sander M. Bohte, Greg Grudic, Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets, Submitted, Available as Technical Report CU-CS-977-04, 2004 ( pdf )

Sander M. Bohte, Markus Breitenbach, Greg Grudic, Nonparametric Classification with Polynomial MPMC Cascades, ICML, July 4-8 2004, Banff, Canada, 2004 ( pdf )

Markus Breitenbach, Rodney Nielsen, Greg Grudic, Probabilistic Random Forests: Predicting Data Point Specific Misclassification Probabilities, Technical Report CU-CS-954-03, 2003 ( pdf )

T. R. Strohmann, Andrei Belitski, Greg Grudic, Dennis DeCoste, Sparse Greedy Minimax Probability Machine Classification, NIPSa, 2003 ( pdf )

T. R. Strohmann, Greg Grudic, Robust Minimax Probability Machine Regression, Submitted. Available as Technical Report CU-CS-952-03, 2003 ( pdf )

Greg Grudic, Vijay Kumar, L. H. Ungar, Using Policy Gradient Reinforcement Learning on Autonomous Robot Controllersn, IEEE-RSJ International Conference on Intelligent Robots and Systems (IROS03), 2003 ( pdf )

T. R. Strohmann, Greg Grudic, A Formulation for Minimax Probability Machine Regression, NIPS, 2002 ( pdf )

R. Fierro, A. Das, J. Spletzer, J. Esposito, V. Kumar, J. P. Ostrowski, G. Pappas, C. J. Taylor, Y. Hur, R. Alur, I. Lee, Greg Grudic, J. Southall, A framework and architecture for multi-robot coordination, International Journal of Robotics Research (IJRR), vol. 21, no. 10-11, pp. 977-995, 2002 ( pdf )

Greg Grudic, L. H. Ungar, Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning, NIPS, 2001 ( pdf )

Greg Grudic, L. H. Ungar, Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning, Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 01), August 4th - 10th, 2001 ( pdf )

R. Alur, A. Das, J. Esposito, R. Fierro, Y. Hur, Greg Grudic, V. Kumar,I. Lee, J. Ostrowski, G. Pappas, J. Southall, J. Spletzer, C. Taylor, Localizing Policy Gradient Estimates to Action Transitions, Taylor, A framework and Architecture for Multirobot Coordination, Experimental Robotics: LNCS Series, Springer-Verlag, 2001 ( pdf )

Greg Grudic, L. H. Ungar, Localizing Search in Reinforcement Learning, Seventeenth National Conference on Artificial Intelligence (AAAI 2000), June 29 - July 2, 2000 ( pdf )

Greg Grudic, L. H. Ungar, Localizing Policy Gradient Estimates to Action Transitions, Seventeenth International Conference on Machine Learning (ICML 2000), July 30 - Aug. 3, 2000 ( pdf )

Greg Grudic, P. D. Lawrance, A Nonparametric Learning Approach to Vision Based Mobile Robot Localization, IEEE-RSJ International Conference on Intelligent Robots and Systems (IROS98), 1998 ( pdf )

Greg Grudic, P. D. Lawrance, Is Nonparametric Learning Practical in Very High Dimensional Spaces?, Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97) , NAGOYA, Aichi, Japan, 1997 ( pdf )

Greg Grudic, P. D. Lawrance, Human-to-Robot Skill Transfer Using the SPORE Approximation, IEEE Int. Conf. on Rob. and Aut. (ICRA'96) , Minneapolis, Minnesota, 1996 ( pdf )

Greg Grudic, P. D. Lawrance, Human-to-Robot Skill Transfer Via Teleoperation, IEEE Int. Conf. on Sys. Man and Cyb. , Vancouver, B.C., 1995 ( pdf )

Greg Grudic, P. D. Lawrance, Iterative Inverse Kinematics with Manipulator Configuration Control, IEEE Trans. Robotics and Automation ,volume 9, Number 4, pages 476-483, 1993 ( pdf )

Jane Mulligan

Greg Grudic, Jane Mulligan, Outdoor Path Labeling Using Polynomial Mahalanobis Distance, Robotics: Science and Systems II, 2006 ( pdf )

Greg Grudic, Jane Mulligan, Topological mapping with multiple visual manifolds, Robotics: Science and Systems I, 2005 ( pdf )

Abhishek Jaiantilal

Abhishek Jaiantilal, Greg Grudic, Topology Based fuzzy Clustering, In preperation, 2007 ( pdf )

Abhishek Jaiantilal, Greg Grudic, Fuzzy Clustering using Topological properties, In preperation, 2007 ( pdf )

Adam Bates

Avleen Bijral, Adam Bates, Greg Grudic, Semi-supervised Path Identification using Markov Random Walks, Submitted Robotics Science and Systems, 2007 ( pdf )

Avleen Bijral

Avleen Bijral, Markus Breitenbach, Greg Grudic, Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings, Accepted to AISTATS, 2007 ( pdf )

Avleen Bijral, Adam Bates, Greg Grudic, Semi-supervised Path Identification using Markov Random Walks, Submitted Robotics Science and Systems, 2007 ( pdf )

Avleen Bijral, Greg Grudic, On Clustering High Dimensional Unit Norm Data, In preparation., 2007 ( pdf )

Avleen Bijral, Girish Palshikar, Mining Interesting Temporal Patterns: An Information Theoretic Approach, proceedings of IICAI, 2005 ( pdf )

Ben Pearre

Jaeheon Jeong

Kris Nuttycombe

Makiko Umemoto

Markus Breitenbach

Avleen Birjral, Markus Breitenbach, Gregory Grudic, Mixture of Watson Distributions: Generative Model for Hyperspherical Embeddings, accepted to AISTATS, 2007 ( pdf )

Avleen Bijral, Markus Breitenbach, Greg Grudic, Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings, Accepted to AISTATS, 2007 ( pdf )

Markus Breitenbach, Tim Brennan, William Dieterich, Gregory Grudic, Clustering of Psychological Personality Tests of Criminal Offenders, ECML PKDD 2006 SAS Workshop on Practical Data Mining, 2006 ( pdf )

Tim Brennan, William Dieterich, Markus Breitenbach, Etiological patterns among female delinquents: Towards an explanatory taxonomy, accepted for presentation at the British Society of Criminology, Annual Conference, 2006 ( pdf )

Markus Breitenbach, Gregory Grudic, Clustering Through Ranking On Manifolds, accepted to ICML, 2005 ( pdf )

Markus Breitenbach, Greg Grudic, Clustering Through Ranking On Manifolds, ICML, 2005 ( pdf )

Sander Bohte, Markus Breitenbach, Gregory Grudic, Nonparametric Classification with Polynomial MPMC Cascades, accepted to ICML, 2004 ( pdf )

Sander Bohte, Markus Breitenbach, Gregory Grudic, Nonparametric Classification with Polynomial MPMC Cascades, available as Technical Report, 2004 ( pdf )

Markus Breitenbach, Rodney Nielsen, Gregory Grudic, Probabilistic Random Forests: Predicting Data Point Specific Misclassification Probabilities, Technical Report, 2004 ( pdf )

Markus Breitenbach, Greg Grudic, Clustering with Local and Global Consistency, Submitted, Also Available as Technical Report CU-CS-973-04, 2004 ( pdf )

Sander M. Bohte, Markus Breitenbach, Greg Grudic, Nonparametric Classification with Polynomial MPMC Cascades, ICML, July 4-8 2004, Banff, Canada, 2004 ( pdf )

Markus Breitenbach, Rodney Nielsen, Greg Grudic, Probabilistic Random Forests: Predicting Data Point Specific Misclassification Probabilities, Technical Report CU-CS-954-03, 2003 ( pdf )

Markus Breitenbach, Gregory Grudic, Clustering with Local and Global Consistency, available as Technical Report, 2001 ( pdf )

Markus Breitenbach, Sander Bohte, Gregory Grudic, Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets, available as Technical Report, 2001 ( pdf )

Frank Hutter, Markus Breitenbach, Harvesta - A new Approach in Information Management Suited for Corporate Intelligence, Presented at the 6th annual SCIP European Conference, 2001 ( pdf )

Michael Procopio

J. M. Linebarger, A. J. Scholand, M. A. Ehlen, Michael Procopio, Benefits of synchronous collaboration support for an application-centered analysis team working on complex problems: a case study, In Proceedings of the 2005 international ACM SIGGROUP Conference on Supporting Group Work (Sanibel Island, Florida, USA, November 06 - 09, 2005). GROUP, 2005 ( pdf )

Michael Procopio, YCab.NET: Decentralized Collaboration Groupware for Mobile Devices using the Microsoft .NET Framework, Master's of Science Thesis, University of Florida, 2002 ( pdf )

Michael Otte

Samuel Reid

Scott Richardson

Soumya Ghosh

Tomasz Stepinski, Soumya Ghosh, Ricardo Vilalta, Machine Learning for Automated Mapping of Planetary Surfaces, 19th Conference on Innovative Applications of Artificial Intelligence (IAAI), 2007 ( pdf )

Soumya Ghosh, Tomasz Stepinski, Ricardo Vilalta, Automatic Mapping of Martian Landforms Using Segmentation-Based Classification, 38th Lunar and Planetary Science Conference (LPSC), 2007 ( pdf )

Tomasz Stepinski, Soumya Ghosh, Ricardo Vilalta, Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification, 9th International Conference on Discovery Science (DS), 2006 ( pdf )

Soumya Ghosh, A Machine Learning Approach for Automated Geomorphic Map Generation, Masters Thesis, 2006 ( pdf )

Soumya Ghosh, Frequency of Execution Metrics for GBT Observations, NRAO Technical Report, 2005 ( pdf )

Thomas Strohmann

Wei Xu