RI | People | Andrew J Connolly

Text only version of this site

Andrew J Connolly
Adjunct Assistant Professor (Adjunct)

No longer a member of RI.

Jump to: Publications

Publications

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

• 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

• Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
  B. Anderson, A. Moore, A.J. Connolly, and R. Nichol
  International Conference on Knowledge Discovery and Data Mining, ACM Press, New York, NY, August, 2004.