144 search results - page 11 / 29 » On Deep Generative Models with Applications to Recognition |
109
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ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
For decades, Hidden Markov Models (HMMs) have been the state-of-the-art technique for acoustic modeling despite their unrealistic independence assumptions and the very limited rep...
110
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PR
2008
15 years 1 months ago
2008
Given the pervasive nature of malicious mobile code (viruses, worms, etc.), developing statistical/structural models of code execution is of considerable importance. We investigat...
106
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CEE
2010
15 years 1 months ago
2010
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
138
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ICCV
2005
IEEE
16 years 3 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
129
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AAAI
2011
14 years 1 months ago
2011
In this paper we examine the general problem of generating preferred explanations for observed behavior with respect to a model of the behavior of a dynamical system. This problem...