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    ICPR
    2000
    IEEE
    273views computer vision» more  ICPR 2000»
    Occlusion Robust Tracking Utilizing Spatio-Temporal Markov Random Field Model
    15 years 9 months ago
    Occlusion Robust Tracking Utilizing Spatio-Temporal Markov Random Field Model
    Download  wjm.tyai.tyc.edu.tw
    Shunsuke Kamijo, Yasuyuki Matsushita, Katsushi Ike...
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    ICIP
    1998
    IEEE
    87views Image Processing» more  ICIP 1998»
    The Effect of Stable Points on the Convergence of Markov Random Fields
    15 years 9 months ago
    The Effect of Stable Points on the Convergence of Markov Random Fields
    Download  www.math.siu.edu
    Greg Budzban, William Casey
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    NIPS
    2007
    137views Information Technology» more  NIPS 2007»
    Modeling image patches with a directed hierarchy of Markov random fields
    15 years 6 months ago
    Modeling image patches with a directed hierarchy of Markov random fields
    Download  www.cs.utoronto.ca
    Simon Osindero, Geoffrey E. Hinton
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    BMEI
    2009
    IEEE
    346views Biomedical Imaging» more  BMEI 2009»
    A Markov Random Field Model for Medical Image Denoising
    15 years 6 months ago
    A Markov Random Field Model for Medical Image Denoising
    Download  aao.sinica.edu.tw
    Ting-Li Chen
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    15 years 5 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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