144 search results - page 11 / 29 » On Deep Generative Models with Applications to Recognition |
ICASSP
2010
IEEE
13 years 8 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...
PR
2008
13 years 8 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...
CEE
2010
13 years 8 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...
ICCV
2005
IEEE
14 years 10 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...
AAAI
2011
12 years 8 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...