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» Approximate Learning of Dynamic Models
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PAMI
2008
179views more  PAMI 2008»
15 years 2 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
CVPR
2009
IEEE
16 years 9 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»
15 years 8 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. ...
117
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ICASSP
2008
IEEE
15 years 9 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...
142
Voted
BMCBI
2010
229views more  BMCBI 2010»
15 years 2 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