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» Approximate Learning of Dynamic Models
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PAMI
2008
179views more  PAMI 2008»
15 years 7 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos
232
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CVPR
2009
IEEE
17 years 2 months ago
Variational Layered Dynamic Textures
A dynamic texture is a generative model for video that treats the video as a sample from spatio-temporal stochastic process. One problem associated with the dynamic texture is t...
Antoni B. Chan, Nuno Vasconcelos
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
16 years 1 months ago
Toward Legless Locomotion Control
— Motivated by an error-recovery locomotion problem, we propose a control technique for a complex mechanical system by decomposing the system dynamics into a collection of simpli...
Ravi Balasubramanian, Alfred A. Rizzi, Matthew T. ...
ICASSP
2008
IEEE
16 years 1 months ago
Maximum entropy relaxation for multiscale graphical model selection
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
BMCBI
2010
229views more  BMCBI 2010»
15 years 7 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck