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    » Aggregation-based model reduction of a Hidden Markov Model
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    JAIR
    2002
    120views more  JAIR 2002»
    Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
    13 years 5 months ago
    Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
    Download  www.jair.org
    Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
    Hagit Shatkay, Leslie Pack Kaelbling
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    ICIP
    2007
    IEEE
    135views Image Processing» more  ICIP 2007»
    Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
    13 years 5 months ago
    Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
    Download  www.mmk.ei.tum.de
    The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
    Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
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    ICPR
    2008
    IEEE
    250views Computer Vision» more  ICPR 2008»
    Improvements in hidden Markov model based Arabic OCR
    13 years 12 months ago
    Improvements in hidden Markov model based Arabic OCR
    Download  figment.cse.usf.edu
    This paper describes recent advances in hidden Markov model (HMM) based OCR for machine-printed Arabic documents. A combination of scriptindependent and script-specific techniques...
    Rohit Prasad, Shirin Saleem, Matin Kamali, Ralf Me...
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    ICDM
    2005
    IEEE
    189views Data Mining» more  ICDM 2005»
    Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
    13 years 11 months ago
    Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
    Download  www.cs.ust.hk
    We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
    Jie Yin, Qiang Yang
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    PR
    2010
    129views more  PR 2010»
    Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
    13 years 3 months ago
    Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
    Download  fich.unl.edu.ar
    Diego H. Milone, Leandro E. Di Persia, Marí...
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