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    156
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    DRR
    2011
    260views Document Analysis» more  DRR 2011»
    How carefully designed open resource sharing can help and expand document analysis research
    14 years 3 months ago
    How carefully designed open resource sharing can help and expand document analysis research
    Download  swat.cse.lehigh.edu
    w—king d—t—sets —v—il—˜le for peer reviewing of pu˜lished do™ument —n—lysis methods or distri˜uting l—rge ™ommonly used do™ument ™orpor— for ˜en™hm—rking —re ...
    Bart Lamiroy, Daniel P. Lopresti, Henry F. Korth, ...
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    196
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    JMLR
    2012
    255views Programming Languages» more  JMLR 2012»
    Learning Low-order Models for Enforcing High-order Statistics
    13 years 6 months ago
    Learning Low-order Models for Enforcing High-order Statistics
    Download  jmlr.csail.mit.edu
    Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
    Patrick Pletscher, Pushmeet Kohli
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    147
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    CVPR
    2012
    IEEE
    258views Computer Vision» more  CVPR 2012»
    Real-time scene text localization and recognition
    13 years 6 months ago
    Real-time scene text localization and recognition
    Download  cmp.felk.cvut.cz
    An end-to-end real-time scene text localization and recognition method is presented. The real-time performance is achieved by posing the character detection problem as an efficie...
    Lukas Neumann, Jiri Matas
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    158
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    CVPR
    2012
    IEEE
    228views Computer Vision» more  CVPR 2012»
    Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
    13 years 6 months ago
    Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
    Download  www.stat.ucla.edu
    This paper presents a method for learning 3D object templates from view labeled object images. The 3D template is defined in a joint appearance and geometry space, and is compose...
    Wenze Hu
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    186
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    CVPR
    2012
    IEEE
    230views Computer Vision» more  CVPR 2012»
    Boosting bottom-up and top-down visual features for saliency estimation
    13 years 6 months ago
    Boosting bottom-up and top-down visual features for saliency estimation
    Download  ilab.usc.edu
    Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
    Ali Borji
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