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» Incremental Construction of Structured Hidden Markov Models
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PR
2008
124views more  PR 2008»
13 years 10 months ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu
ALMOB
2006
155views more  ALMOB 2006»
13 years 10 months ago
A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
Jonathan E. Allen, Steven L. Salzberg
WABI
2005
Springer
118views Bioinformatics» more  WABI 2005»
14 years 4 months ago
A Hidden Markov Technique for Haplotype Reconstruction
We give a new algorithm for the genotype phasing problem. Our solution is based on a hidden Markov model for haplotypes. The model has a uniform structure, unlike most solutions pr...
Pasi Rastas, Mikko Koivisto, Heikki Mannila, Esko ...
BMCBI
2010
99views more  BMCBI 2010»
13 years 10 months ago
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)
Background: It has been apparent in the last few years that small non coding RNAs (ncRNA) play a very significant role in biological regulation. Among these microRNAs (miRNAs), 22...
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, As...
FLAIRS
2008
14 years 27 days ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar