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    COLING
    2008
    100views Computational Linguistics» more  COLING 2008»
    The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework
    13 years 11 months ago
    The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework
    Download  www.cs.cornell.edu
    Treating classification as seeking minimum cuts in the appropriate graph has proven effective in a number of applications. The power of this approach lies in its ability to incorp...
    Mohit Bansal, Claire Cardie, Lillian Lee
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    VMV
    2008
    165views Visualization» more  VMV 2008»
    Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps
    13 years 11 months ago
    Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps
    Download  www.cs.unc.edu
    This work presents a real-time, data-parallel approach for global label assignment on regular grids. The labels are selected according to a Markov random field energy with a Potts...
    Christopher Zach, David Gallup, Jan-Michael Frahm,...
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    ICVGIP
    2004
    216views Computer Vision» more  ICVGIP 2004»
    Learning Layered Pictorial Structures from Video
    13 years 11 months ago
    Learning Layered Pictorial Structures from Video
    Download  eprints.pascal-network.org
    We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
    M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
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    DICTA
    2003
    142views Applied Computing» more  DICTA 2003»
    Two-Level Image Segmentation Based on Region and Edge Integration
    13 years 11 months ago
    Two-Level Image Segmentation Based on Region and Edge Integration
    Download  www.aprs.org.au
    Abstract. This paper introduces a two-level approach for image segmentation based on region and edge integration. Edges are first detected in the original image using a combinatio...
    Qing Wu, Yizhou Yu
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    CGF
    2008
    148views more  CGF 2008»
    Automatic Registration for Articulated Shapes
    13 years 10 months ago
    Automatic Registration for Articulated Shapes
    Download  cseweb.ucsd.edu
    We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...
    Will Chang, Matthias Zwicker
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