- Efficient Discovery of Spatial Associations and Structure with Application to Asteroid Tracking
Jeremy Martin Kubica
doctoral dissertation, tech. report CMU-RI-TR-06-01, Robotics Institute, Carnegie Mellon University, December, 2005
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- Scalable and robust group discovery on large transactional data
Pak Yan Choi, Andrew Moore, and Jeremy Martin Kubica
tech. report CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005
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- Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery
Jeremy Martin Kubica, Joseph Masiero, Andrew Moore, Robert Jedicke, and Andrew J. Connolly
Neural Information Processing Systems, December, 2005. Details |
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- Variable KD-Tree Algorithms for Efficient Spatial Pattern Search
Jeremy Martin Kubica, Joseph Masiero, Andrew Moore, Robert Jedicke, and Andrew J. Connolly
tech. report CMU-RI-TR-05-43, Robotics Institute, Carnegie Mellon University, September, 2005
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- A Multiple Tree Algorithm for the Efficient Association of Asteroid Observations
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August, 2005, pp. 138-146. Details
- Efficiently Identifying Close Track/Observation Pairs in Continuous Timed Data
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
Proc. SPIE Signal and Data Processing of Small Targets, August, 2005. Details
- Efficient Algorithms for the Identification of Potential Track/Observation Associations in Continuous Time Data
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
tech. report CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005
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- Fast and Robust Track Initiation Using Multiple Trees
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
tech. report CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004
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- Spatial Data Structures for Efficient Trajectory-Based Queries
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
tech. report CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004
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- Probabilistic Noise Identification and Data Cleaning
Jeremy Martin Kubica and Andrew Moore
The Third IEEE International Conference on Data Mining, November, 2003, pp. 131-138. Details |
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- Tractable Group Detection on Large Link Data Sets
Jeremy Martin Kubica, Andrew Moore, and Jeff Schneider
The Third IEEE International Conference on Data Mining, November, 2003, pp. 573-576. Details |
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- K-groups: Tractable Group Detection on Large Link Data Sets
Jeremy Martin Kubica, Andrew Moore, and Jeff Schneider
tech. report CMU-RI-TR-03-32, Robotics Institute, Carnegie Mellon University, September, 2003
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pdf (129KB) | Copyrighted
- cGraph: A Fast Graph-Based Method for Link Analysis and Queries
Jeremy Martin Kubica, Andrew Moore, David Cohn, and Jeff Schneider
Proceedings of the 2003 IJCAI Text-Mining & Link-Analysis Workshop, August, 2003, pp. 22-31. Details |
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- Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
Jeremy Martin Kubica, Andrew Moore, David Cohn, and Jeff Schneider
Proceedings of the 2003 International Conference on Machine Learning, August, 2003, pp. 392-399. Details |
pdf (88KB) | Copyrighted
- Probabilistic Noise Identification and Data Cleaning
Jeremy Martin Kubica and Andrew Moore
tech. report CMU-RI-TR-02-26, Robotics Institute, Carnegie Mellon University, October, 2002
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pdf (84KB) | Copyrighted
- Stochastic Link and Group Detection
Jeremy Martin Kubica, Andrew Moore, Jeff Schneider, and Yiming Yang
The Eighteenth National Conference on Artificial Intelligence, August, 2002, pp. 798-804. Details
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