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    ISMB
    1996
    155views Computational Biology» more  ISMB 1996»
    Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
    13 years 10 months ago
    Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
    Download  www.aaai.org
    We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
    Tetsushi Yada, Makoto Hirosawa
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    ICASSP
    2008
    IEEE
    181views Signal Processing» more  ICASSP 2008»
    Joint tracking and video registration by factorial Hidden Markov models
    14 years 3 months ago
    Joint tracking and video registration by factorial Hidden Markov models
    Download  www.umiacs.umd.edu
    Tracking moving objects from image sequences obtained by a moving camera is a difficult problem since there exists apparent motion of the static background. It becomes more dif...
    Xue Mei, Fatih Murat Porikli
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    BMCBI
    2002
    133views more  BMCBI 2002»
    Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
    13 years 9 months ago
    Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
    Download  www.biomedcentral.com
    Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
    Kevin Truong, Mitsuhiko Ikura
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    NIPS
    1994
    264views Information Technology» more  NIPS 1994»
    An Input Output HMM Architecture
    13 years 10 months ago
    An Input Output HMM Architecture
    Download  www.dsi.unifi.it
    We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
    Yoshua Bengio, Paolo Frasconi
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    CVPR
    2006
    IEEE
    237views Computer Vision» more  CVPR 2006»
    Gesture Recognition using Hidden Markov Models from Fragmented Observations
    14 years 11 months ago
    Gesture Recognition using Hidden Markov Models from Fragmented Observations
    Download  marathon.csee.usf.edu
    We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
    Ruiduo Yang, Sudeep Sarkar
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