Learning tactic-based motion models with fast particle smoothing
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[1] Andrew W. Moore,et al. 'N-Body' Problems in Statistical Learning , 2000, NIPS.
[2] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[3] Brett Browning,et al. Turning Segways into soccer robots , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).
[4] Thiagalingam Kirubarajan,et al. Estimation with Applications to Tracking and Navigation , 2001 .
[5] Geoffrey E. Hinton,et al. Switching State-Space Models , 1996 .
[6] Michael I. Jordan,et al. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES , 2001 .
[7] Brett Browning,et al. STP: Skills, tactics, and plays for multi-robot control in adversarial environments , 2005 .
[8] Yau Shu Wong,et al. Nested Monte Carlo EM algorithm for switching state-space models , 2005, IEEE Transactions on Knowledge and Data Engineering.
[9] Geoffrey E. Hinton,et al. Variational Learning for Switching State-Space Models , 2000, Neural Computation.
[10] Yang Gu. Tactic-Based Motion Modeling and Multi-Sensor Tracking , 2005, AAAI.
[11] Dieter Fox,et al. Map-Based Multiple Model Tracking of a Moving Object , 2004, RoboCup.
[12] George W. Irwin,et al. Multiple model bootstrap filter for maneuvering target tracking , 2000, IEEE Trans. Aerosp. Electron. Syst..
[13] Neil J. Gordon,et al. Editors: Sequential Monte Carlo Methods in Practice , 2001 .
[14] Manuela M. Veloso,et al. Multi-model motion tracking under multiple team member actuators , 2006, AAMAS '06.
[15] Michael Isard,et al. Learning Multi-Class Dynamics , 1998, NIPS.