1084 search results - page 82 / 217 » Hidden Markov Models with Multiple Observation Processes |
109
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...
126
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ICIP
2003
IEEE
15 years 9 months ago
2003
IEEE
In this paper we present a flexible multimodal object tracking system. It is based on a particle filter which combines the outputs of different measurement methods (also called ...
136
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CW
2003
IEEE
15 years 9 months ago
2003
IEEE
Current BtoC recommendation services utilize consumers’ purchased log as criteria for selecting information, yet it includes little information of the reason why he bought the i...
125
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NIPS
2007
15 years 5 months ago
2007
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
127
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ICML
2009
IEEE
15 years 1 months ago
2009
IEEE
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...