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    VISSYM
    2004
    132views Visualization» more  VISSYM 2004»
    Occlusion Culling for Sub-Surface Models in Geo-Scientific Applications
    13 years 7 months ago
    Occlusion Culling for Sub-Surface Models in Geo-Scientific Applications
    Download  www.uni-weimar.de
    We present a three pass occlusion culling algorithm, which makes efficient use of hardware support. Our geo-scientific sub-surface data sets consist typically of a set of high res...
    John Plate, Anselm Grundhöfer, Benjamin Schmi...
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    BMCBI
    2004
    132views more  BMCBI 2004»
    Two-stage normalization using background intensities in cDNA microarray data
    13 years 5 months ago
    Two-stage normalization using background intensities in cDNA microarray data
    Download  www.biomedcentral.com
    Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the me...
    Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
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    TCSV
    2002
    125views more  TCSV 2002»
    Object-based video abstraction for video surveillance systems
    13 years 5 months ago
    Object-based video abstraction for video surveillance systems
    Download  www.cs.utsa.edu
    ased Video Abstraction for Video Surveillance Systems Changick Kim, Member, IEEE, and Jenq-Neng Hwang, Fellow, IEEE Key frames are the subset of still images which best t the conte...
    Changick Kim, Jenq-Neng Hwang
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    ECCV
    2008
    Springer
    263views Computer Vision» more  ECCV 2008»
    Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
    14 years 7 months ago
    Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
    Download  www.cis.upenn.edu
    Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
    Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi
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    CVPR
    2007
    IEEE
    132views Computer Vision» more  CVPR 2007»
    Learning Generative Models via Discriminative Approaches
    14 years 4 days ago
    Learning Generative Models via Discriminative Approaches
    Download  users.loni.ucla.edu
    Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
    Zhuowen Tu
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