1275 search results - page 9 / 255 » The Infinite Hidden Markov Model |
CSDA
2007
14 years 10 months ago
2007
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categ...
101
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
108
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MICAI
2007
Springer
15 years 4 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
SP
2002
IEEE
14 years 10 months ago
2002
IEEE
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
JMLR
2010
14 years 5 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...