616 search results - page 44 / 124 » Hierarchical Hidden Markov Models for Information Extraction |
105
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ICIP
2008
IEEE
16 years 3 months ago
2008
IEEE
In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are ex...
ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
123
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BMCBI
2006
15 years 1 months ago
2006
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
115
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
155
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ECAI
2004
Springer
15 years 6 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...