- 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 |
pdf (205KB) | Copyrighted
- 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
Details |
pdf (4MB) | Copyrighted
- 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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pdf (168KB) | Copyrighted
- 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
Details |
pdf (1MB) | Copyrighted
- 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
Details |
pdf (511KB) | Copyrighted
- Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
Brigham Anderson, Andrew Moore, Andrew J. Connolly, and Robert Nichol
International Conference on Knowledge Discovery and Data Mining, August, 2004. Details
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