2990 search results - page 193 / 598 » Hidden Markov processes |
196
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NIPS
2008
15 years 8 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
181
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...
159
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
159
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...
175
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...