Learning and inference in parametric switching linear dynamic systems
暂无分享,去创建一个
James M. Rehg | Frank Dellaert | Tucker R. Balch | Sang Min Oh | F. Dellaert | T. Balch | Sangmin Oh
[1] Terrence J. Sejnowski,et al. Variational Learning for Switching State-Space Models , 2001 .
[2] Mark J. F. Gales,et al. Rao-Blackwellised Gibbs sampling for switching linear dynamical systems , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[3] Tom Heskes,et al. Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[4] F. Dellaert,et al. A Rao-Blackwellized particle filter for EigenTracking , 2004, CVPR 2004.
[5] Yaakov Bar-Shalom,et al. Estimation and Tracking: Principles, Techniques, and Software , 1993 .
[6] Chang‐Jin Kim,et al. Dynamic linear models with Markov-switching , 1994 .
[7] R. Shumway,et al. Dynamic linear models with switching , 1991 .
[8] Uri Lerner,et al. Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms , 2001, UAI.
[9] Arnaud Doucet,et al. Particle filters for state estimation of jump Markov linear systems , 2001, IEEE Trans. Signal Process..
[10] Vladimir Pavlovic,et al. Learning Switching Linear Models of Human Motion , 2000, NIPS.
[11] Christoph Bregler,et al. Learning and recognizing human dynamics in video sequences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] G. McLachlan,et al. The EM algorithm and extensions , 1996 .
[13] Vladimir Pavlovic,et al. A dynamic Bayesian network approach to figure tracking using learned dynamic models , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[14] Harry Shum,et al. Motion texture: a two-level statistical model for character motion synthesis , 2002, ACM Trans. Graph..
[15] Michael Isard,et al. Learning and Classification of Complex Dynamics , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Aaron F. Bobick,et al. Parametric Hidden Markov Models for Gesture Recognition , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[17] James M. Rehg,et al. Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems , 2005, AAAI.
[18] James M. Rehg,et al. A data-driven approach to quantifying natural human motion , 2005, ACM Trans. Graph..
[19] Aaron Hertzmann,et al. Style machines , 2000, SIGGRAPH 2000.
[20] Tony Jebara,et al. Dynamical Systems Trees , 2004, UAI.
[21] Gautam Biswas,et al. Bayesian Fault Detection and Diagnosis in Dynamic Systems , 2000, AAAI/IAAI.
[22] R. Vidal,et al. Observability and identifiability of jump linear systems , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..