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ICASSP
2011
IEEE
13 years 2 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
AVSS
2006
IEEE
14 years 4 months ago
Nonparametric Background Modeling Using the CONDENSATION Algorithm
Background modeling for dynamic scenes is an important problem in the context of real time video surveillance systems. Several nonparametric background models have been proposed t...
Xingzhi Luo, Suchendra M. Bhandarkar, Wei Hua, Hai...
CEEMAS
2003
Springer
14 years 3 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Karl Tuyls, Katja Verbeeck, Sam Maes
RSS
2007
126views Robotics» more  RSS 2007»
13 years 11 months ago
Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains
ā€” Recent progress in the algorithm as well as the processor power have made the dynamics simulation of complex kinematic chains more realistic in various ļ¬elds such as human mo...
Katsu Yamane, Yoshihiko Nakamura
GRAPHICSINTERFACE
2001
13 years 11 months ago
Novel Solver for Dynamic Surfaces
Physics-based modeling integrates dynamics and geometry. The standard methods to solve the Lagrangian equations use a direct approach in the spatial domain. Though extremely power...
Sumantro Ray, Hong Qin