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Publications, Jeremy Martin Kubica

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Efficient Discovery of Spatial Associations and Structure with Application to Asteroid Tracking
  J.M. Kubica
  doctoral dissertation, tech. report CMU-RI-TR-06-01, Robotics Institute, Carnegie Mellon University, December, 2005. [Abstract]
  Download: pdf [6730 KB] copyrighted

• Scalable and robust group discovery on large transactional data
  P. Choi, A. Moore, and J.M. Kubica
  tech. report CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005. [Abstract]
  Download: pdf [753 KB] copyrighted

• Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery
  J.M. Kubica, J. Masiero, A. Moore, R. Jedicke, and A.J. Connolly
  Neural Information Processing Systems, December, 2005. [Abstract]
  Download: pdf [204 KB] copyrighted

• Variable KD-Tree Algorithms for Efficient Spatial Pattern Search
  J.M. Kubica, J. Masiero, A. Moore, R. Jedicke, and A.J. Connolly
  tech. report CMU-RI-TR-05-43, Robotics Institute, Carnegie Mellon University, September, 2005. [Abstract]
  Download: pdf [4417 KB], ps.gz [457 KB] copyrighted

• A Multiple Tree Algorithm for the Efficient Association of Asteroid Observations
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Press, August, 2005, pp. 138-146. [Abstract]

• Efficiently Identifying Close Track/Observation Pairs in Continuous Timed Data
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  Proc. SPIE Signal and Data Processing of Small Targets, SPIE, August, 2005. [Abstract]

• Efficient Algorithms for the Identification of Potential Track/Observation Associations in Continuous Time Data
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  tech. report CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005. [Abstract]
  Download: pdf [168 KB], ps.gz [375 KB] copyrighted

• Fast and Robust Track Initiation Using Multiple Trees
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  tech. report CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004. [Abstract]
  Download: pdf [1196 KB], ps.gz [803 KB] copyrighted

• Spatial Data Structures for Efficient Trajectory-Based Queries
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  tech. report CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004. [Abstract]
  Download: pdf [510 KB], ps.gz [278 KB] copyrighted

• Probabilistic Noise Identification and Data Cleaning
  J.M. Kubica and A. Moore
  The Third IEEE International Conference on Data Mining, IEEE Computer Society, November, 2003, pp. 131-138. [Abstract]
  Download: pdf [69 KB], ps.gz [56 KB] copyrighted

• Tractable Group Detection on Large Link Data Sets
  J.M. Kubica, A. Moore, and J. Schneider
  The Third IEEE International Conference on Data Mining, IEEE Computer Society, November, 2003, pp. 573-576. [Abstract]
  Download: pdf [2189 KB] copyrighted

• K-groups: Tractable Group Detection on Large Link Data Sets
  J.M. Kubica, A. Moore, and J. Schneider
  tech. report CMU-RI-TR-03-32, Robotics Institute, Carnegie Mellon University, September, 2003. [Abstract]
  Download: pdf [129 KB], ps.gz [74 KB] copyrighted

• cGraph: A Fast Graph-Based Method for Link Analysis and Queries
  J.M. Kubica, A. Moore, D. Cohn, and J. Schneider
  Proceedings of the 2003 IJCAI Text-Mining & Link-Analysis Workshop, August, 2003, pp. 22-31. [Abstract]
  Download: pdf [121 KB], ps.gz [97 KB] copyrighted

• Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
  J.M. Kubica, A. Moore, D. Cohn, and J. Schneider
  Proceedings of the 2003 International Conference on Machine Learning, AAAI Press, August, 2003, pp. 392-399. [Abstract]
  Download: pdf [88 KB] copyrighted

• Probabilistic Noise Identification and Data Cleaning
  J.M. Kubica and A. Moore
  tech. report CMU-RI-TR-02-26, Robotics Institute, Carnegie Mellon University, October, 2002. [Abstract]
  Download: pdf [84 KB], ps.gz [51 KB] copyrighted

• Stochastic Link and Group Detection
  J.M. Kubica, A. Moore, J. Schneider, and Y. Yang
  The Eighteenth National Conference on Artificial Intelligence, August, 2002, pp. 798-804. [Abstract]