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» Hidden Markov Model Variants and their Application
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CVPR
2006
IEEE
15 years 11 months ago
Hidden Conditional Random Fields for Gesture Recognition
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...
Sy Bor Wang, Ariadna Quattoni, Louis-Philippe More...
JMLR
2012
13 years 2 days ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
JCSS
2007
116views more  JCSS 2007»
14 years 9 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
CORR
2010
Springer
136views Education» more  CORR 2010»
14 years 7 months ago
The Highest Expected Reward Decoding for HMMs with Application to Recombination Detection
Abstract. Hidden Markov models are traditionally decoded by the Viterbi algorithm which finds the highest probability state path in the model. In recent years, several limitations ...
Michal Nánási, Tomás Vinar, B...
75
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NIPS
2003
14 years 11 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...