Abhishek Jaiantilal,
Greg Grudic,
Topology Based fuzzy Clustering, In preperation,
2007
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Abhishek Jaiantilal,
Greg Grudic,
Fuzzy Clustering using Topological properties, In preperation,
2007
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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
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Avleen Bijral,
Markus Breitenbach,
Greg Grudic,
Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings, Accepted to AISTATS,
2007
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Avleen Bijral,
Adam Bates,
Greg Grudic,
Semi-supervised Path Identification using Markov Random Walks, Submitted Robotics Science and Systems,
2007
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Avleen Bijral,
Greg Grudic,
On Clustering High Dimensional Unit Norm Data, In preparation.,
2007
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Greg Grudic,
Jane Mulligan,
Outdoor Path Labeling Using Polynomial Mahalanobis Distance, Robotics: Science and Systems II,
2006
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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
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Greg Grudic,
Jane Mulligan,
Topological mapping with multiple visual manifolds, Robotics: Science and Systems I,
2005
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Markus Breitenbach,
Greg Grudic,
Clustering Through Ranking On Manifolds, ICML,
2005
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Markus Breitenbach,
Greg Grudic,
Clustering with Local and Global Consistency, Submitted, Also Available as Technical Report CU-CS-973-04,
2004
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Adam Vinueza,
Greg Grudic,
Unsupervised Outlier Detection and Semi-Supervised Learning, Submitted, Also Available as Technical Report CU-CS-976-04,
2004
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Greg Grudic,
Predicting the Probability of Correct Classification, Submitted, Also Available as Technical Report CU-CS-974-04,
2004
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Greg Grudic,
Probabilistic Regression Using Basis Function Models, Submitted, Also Available as Technical Report CU-CS-975-04,
2004
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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
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Sander M. Bohte,
Markus Breitenbach,
Greg Grudic,
Nonparametric Classification with Polynomial MPMC Cascades, ICML, July 4-8 2004, Banff, Canada,
2004
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Markus Breitenbach,
Rodney Nielsen,
Greg Grudic,
Probabilistic Random Forests: Predicting Data Point Specific Misclassification Probabilities, Technical Report CU-CS-954-03,
2003
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T. R. Strohmann,
Andrei Belitski,
Greg Grudic,
Dennis DeCoste,
Sparse Greedy Minimax Probability Machine Classification, NIPSa,
2003
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T. R. Strohmann,
Greg Grudic,
Robust Minimax Probability Machine Regression, Submitted. Available as Technical Report CU-CS-952-03,
2003
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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
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T. R. Strohmann,
Greg Grudic,
A Formulation for Minimax Probability Machine Regression, NIPS,
2002
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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
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Greg Grudic,
L. H. Ungar,
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning, NIPS,
2001
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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
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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
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Greg Grudic,
L. H. Ungar,
Localizing Search in Reinforcement Learning, Seventeenth National Conference on Artificial Intelligence (AAAI 2000), June 29 - July 2,
2000
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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
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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
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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
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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
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Greg Grudic,
P. D. Lawrance,
Human-to-Robot Skill Transfer Via Teleoperation, IEEE Int. Conf. on Sys. Man and Cyb. , Vancouver, B.C.,
1995
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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
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