1084 search results - page 15 / 217 » Hidden Markov Models with Multiple Observation Processes |
120
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
106
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ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
JCB
2002
14 years 11 months ago
2002
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
We significantly improve the computational efficiency of a probabilistic approach for multiple pitch tracking. This method is based on a factorial hidden Markov model and two al...
106
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NIPS
2008
15 years 1 months ago
2008
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...