1243 search results - page 49 / 249 » Reduced-Rank Hidden Markov Models |
154
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ICMCS
2000
IEEE
15 years 8 months ago
2000
IEEE
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
156
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GCB
2000
Springer
15 years 8 months ago
2000
Springer
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
139
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
171
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JIIS
2002
15 years 4 months ago
2002
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
107
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...