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ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 7 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
PRL
2007
131views more  PRL 2007»
13 years 7 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng
ISMB
1998
13 years 8 months ago
Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model
A hidden Markov model of signal peptides has been developed. It contains submodels for the N-terminal part, the hydrophobic region, and the region around the cleavage site. For kn...
Henrik Nielsen, Anders Krogh
CIVR
2006
Springer
13 years 11 months ago
Hierarchical Hidden Markov Model for Rushes Structuring and Indexing
Rushes footage are considered as cheap gold mine with the potential for reuse in broadcasting and filmmaking industries. However, it is difficult to mine the "gold" from ...
Chong-Wah Ngo, Zailiang Pan, Xiao-Yong Wei
ICIP
2006
IEEE
14 years 9 months ago
Submotions for Hidden Markov Model Based Dynamic Facial Action Recognition
Video based analysis of a persons' mood or behavior is in general performed by interpreting various features observed on the body. Facial actions, such as speaking, yawning o...
Dejan Arsic, Joachim Schenk, Björn Schuller, ...