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    COLING
    2008
    159views Computational Linguistics» more  COLING 2008»
    Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
    13 years 8 months ago
    Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
    Download  www.cs.sfu.ca
    This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
    Gholamreza Haffari, Anoop Sarkar
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    ISMB
    1997
    154views Computational Biology» more  ISMB 1997»
    Identifying Chimerism in Proteins Using Hidden Markov Models of Codon Usage
    13 years 8 months ago
    Identifying Chimerism in Proteins Using Hidden Markov Models of Codon Usage
    Download  www.aaai.org
    Protein chimerism is a phenomenon involving the combination of multiple ancestral sequences into a single, multi-domain protein through evolution. We propose a novel method for de...
    Lawrence Hunter, Barry Zeeberg
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    PAA
    2006
    197views Distributed And Parallel Com...» more  PAA 2006»
    Audio-visual sports highlights extraction using Coupled Hidden Markov Models
    13 years 7 months ago
    Audio-visual sports highlights extraction using Coupled Hidden Markov Models
    Download  www.cse.iitk.ac.in
    We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
    Ziyou Xiong
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    NIPS
    2003
    130views Information Technology» more  NIPS 2003»
    Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
    13 years 8 months ago
    Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
    Download  books.nips.cc
    We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
    Radford M. Neal, Matthew J. Beal, Sam T. Roweis
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    BMCBI
    2008
    170views more  BMCBI 2008»
    Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory
    13 years 7 months ago
    Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory
    Download  www.cs.uno.edu
    Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
    Alexander G. Churbanov, Stephen Winters-Hilt
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