1972 search results - page 116 / 395 » Hidden semi-Markov models |
205
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CONTEXT
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
237
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LOCA
2007
Springer
16 years 1 months ago
2007
Springer
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...
183
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IDEAL
2004
Springer
16 years 10 days ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
177
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
184
Voted
GECCO
2005
Springer
16 years 15 days ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...