2007
Avleen Birjral,
Markus Breitenbach,
Gregory Grudic,
Mixture of Watson Distributions: Generative Model for Hyperspherical Embeddings, accepted to AISTATS,
2007
abstract |
pdf
Abhishek Jaiantilal,
Greg Grudic,
Topology Based fuzzy Clustering, In preperation,
2007
abstract |
pdf
Abhishek Jaiantilal,
Greg Grudic,
Fuzzy Clustering using Topological properties, In preperation,
2007
abstract |
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
abstract |
pdf
Tomasz Stepinski,
Soumya Ghosh,
Ricardo Vilalta,
Machine Learning for Automated Mapping of Planetary Surfaces, 19th Conference on Innovative Applications of Artificial Intelligence (IAAI),
2007
abstract |
pdf
Soumya Ghosh,
Tomasz Stepinski,
Ricardo Vilalta,
Automatic Mapping of Martian Landforms Using Segmentation-Based Classification, 38th Lunar and Planetary Science Conference (LPSC),
2007
abstract |
pdf
Avleen Bijral,
Markus Breitenbach,
Greg Grudic,
Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings, Accepted to AISTATS,
2007
abstract |
pdf
Avleen Bijral,
Adam Bates,
Greg Grudic,
Semi-supervised Path Identification using Markov Random Walks, Submitted Robotics Science and Systems,
2007
abstract |
pdf
Avleen Bijral,
Greg Grudic,
On Clustering High Dimensional Unit Norm Data, In preparation.,
2007
abstract |
pdf
2006
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
abstract |
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
abstract |
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
abstract |
pdf
Soumya Ghosh,
A Machine Learning Approach for Automated Geomorphic Map Generation, Masters Thesis,
2006
abstract |
pdf
Greg Grudic,
Jane Mulligan,
Outdoor Path Labeling Using Polynomial Mahalanobis Distance, Robotics: Science and Systems II,
2006
abstract |
pdf
2005
Markus Breitenbach,
Gregory Grudic,
Clustering Through Ranking On Manifolds, accepted to ICML,
2005
abstract |
pdf
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
abstract |
pdf
Soumya Ghosh,
Frequency of Execution Metrics for GBT Observations, NRAO Technical Report,
2005
abstract |
pdf
Avleen Bijral,
Girish Palshikar,
Mining Interesting Temporal Patterns: An Information Theoretic Approach, proceedings of IICAI,
2005
abstract |
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
abstract |
pdf
Greg Grudic,
Jane Mulligan,
Topological mapping with multiple visual manifolds, Robotics: Science and Systems I,
2005
abstract |
pdf
Markus Breitenbach,
Greg Grudic,
Clustering Through Ranking On Manifolds, ICML,
2005
abstract |
pdf
2004
Sander Bohte,
Markus Breitenbach,
Gregory Grudic,
Nonparametric Classification with Polynomial MPMC Cascades, accepted to ICML,
2004
abstract |
pdf
Sander Bohte,
Markus Breitenbach,
Gregory Grudic,
Nonparametric Classification with Polynomial MPMC Cascades, available as Technical Report,
2004
abstract |
pdf
Markus Breitenbach,
Rodney Nielsen,
Gregory Grudic,
Probabilistic Random Forests: Predicting Data Point Specific Misclassification Probabilities, Technical Report,
2004
abstract |
pdf
Markus Breitenbach,
Greg Grudic,
Clustering with Local and Global Consistency, Submitted, Also Available as Technical Report CU-CS-973-04,
2004
abstract |
pdf
Adam Vinueza,
Greg Grudic,
Unsupervised Outlier Detection and Semi-Supervised Learning, Submitted, Also Available as Technical Report CU-CS-976-04,
2004
abstract |
pdf
Greg Grudic,
Predicting the Probability of Correct Classification, Submitted, Also Available as Technical Report CU-CS-974-04,
2004
abstract |
pdf
Greg Grudic,
Probabilistic Regression Using Basis Function Models, Submitted, Also Available as Technical Report CU-CS-975-04,
2004
abstract |
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
abstract |
pdf
Sander M. Bohte,
Markus Breitenbach,
Greg Grudic,
Nonparametric Classification with Polynomial MPMC Cascades, ICML, July 4-8 2004, Banff, Canada,
2004
abstract |
pdf
2003
Markus Breitenbach,
Rodney Nielsen,
Greg Grudic,
Probabilistic Random Forests: Predicting Data Point Specific Misclassification Probabilities, Technical Report CU-CS-954-03,
2003
abstract |
pdf
T. R. Strohmann,
Andrei Belitski,
Greg Grudic,
Dennis DeCoste,
Sparse Greedy Minimax Probability Machine Classification, NIPSa,
2003
abstract |
pdf
T. R. Strohmann,
Greg Grudic,
Robust Minimax Probability Machine Regression, Submitted. Available as Technical Report CU-CS-952-03,
2003
abstract |
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
abstract |
pdf
2002
Michael Procopio,
YCab.NET: Decentralized Collaboration Groupware for Mobile Devices using the Microsoft .NET Framework, Master's of Science Thesis, University of Florida,
2002
abstract |
pdf
T. R. Strohmann,
Greg Grudic,
A Formulation for Minimax Probability Machine Regression, NIPS,
2002
abstract |
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
abstract |
pdf
2001
Markus Breitenbach,
Gregory Grudic,
Clustering with Local and Global Consistency, available as Technical Report,
2001
abstract |
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
abstract |
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
abstract |
pdf
Greg Grudic,
L. H. Ungar,
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning, NIPS,
2001
abstract |
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
abstract |
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
abstract |
pdf
2000
Greg Grudic,
L. H. Ungar,
Localizing Search in Reinforcement Learning, Seventeenth National Conference on Artificial Intelligence (AAAI 2000), June 29 - July 2,
2000
abstract |
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
abstract |
pdf
1998
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
abstract |
pdf
1997
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
abstract |
pdf
1996
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
abstract |
pdf
1995
Greg Grudic,
P. D. Lawrance,
Human-to-Robot Skill Transfer Via Teleoperation, IEEE Int. Conf. on Sys. Man and Cyb. , Vancouver, B.C.,
1995
abstract |
pdf
1993
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
abstract |
pdf
