37 search results - page 3 / 8 » Homotopy-Based Semi-Supervised Hidden Markov Models for Sequ... |
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We introduce a discriminative hidden-state approach for the recognition of human gestures. Gesture sequences often have a complex underlying structure, and models that can incorpo...
BMCBI
2005
13 years 6 months ago
2005
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
BMCBI
2010
13 years 7 months ago
2010
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
INTERSPEECH
2010
13 years 1 months ago
2010
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...