339 search results - page 20 / 68 » Approximate Inference in Probabilistic Graphical Models with... |
54
Voted
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
120
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
IUI
2012
ACM
13 years 5 months ago
2012
ACM
Numerous interaction techniques have been developed that make “virtual” pointing at targets in graphical user interfaces easier than analogous physical pointing tasks by invok...
ICLP
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
102
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CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...