1786 search results - page 207 / 358 » Domain Independent Generative Modeling |
130
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
146
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
117
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UM
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. The vast amount of information presented in museums is often overwhelming to a visitor, making it difficult to select personally interesting exhibits. Advances in mobile...
140
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IJCV
2002
15 years 3 months ago
2002
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
132
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QSIC
2007
IEEE
15 years 10 months ago
2007
IEEE
The advanced electric power grid is a complex real-time system having both Cyber and Physical components. While each component may function correctly, independently, their composi...