1702 search results - page 179 / 341 » Hidden Pattern Statistics |
149
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
239
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
173
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AAAI
2011
14 years 2 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
135
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ESANN
2004
15 years 3 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
The co-occurring patterns in a group carrying the traits of common origin are statistically dependent via an underlying style context. Exploiting style consistency in groups of pa...