1084 search results - page 98 / 217 » Hidden Markov Models with Multiple Observation Processes |
124
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CCE
2004
15 years 3 months ago
2004
It is common that external procedures are incorporated into an equation-oriented model when modeling complex chemical process systems. The so-obtained models are called composite ...
136
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
145
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CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
174
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ECAI
2004
Springer
15 years 9 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
197
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...