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    IVC
    2010
    289views more  IVC 2010»
    Automatic 3D object segmentation in multiple views using volumetric graph-cuts
    13 years 6 months ago
    Automatic 3D object segmentation in multiple views using volumetric graph-cuts
    Download  www.george-vogiatzis.org
    We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...
    Neill D. F. Campbell, George Vogiatzis, Carlos Her...
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    PAMI
    2010
    190views more  PAMI 2010»
    OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
    13 years 6 months ago
    OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
    Download  eprints.pascal-network.org
    —We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
    M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
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    PVLDB
    2010
    125views more  PVLDB 2010»
    MapMerge: Correlating Independent Schema Mappings
    13 years 6 months ago
    MapMerge: Correlating Independent Schema Mappings
    Download  www.comp.nus.edu.sg
    One of the main steps towards integration or exchange of data is to design the mappings that describe the (often complex) relationships between the source schemas or formats and t...
    Bogdan Alexe, Mauricio A. Hernández, Lucian...
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    SIGIR
    2010
    ACM
    136views Information Technology» more  SIGIR 2010»
    EUSUM: extracting easy-to-understand english summaries for non-native readers
    13 years 6 months ago
    EUSUM: extracting easy-to-understand english summaries for non-native readers
    Download  ants.iis.sinica.edu.tw
    In this paper we investigate a novel and important problem in multi-document summarization, i.e., how to extract an easy-tounderstand English summary for non-native readers. Exist...
    Xiaojun Wan, Huiying Li, Jianguo Xiao
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    TMI
    2010
    172views more  TMI 2010»
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    13 years 6 months ago
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    Download  www.loni.ucla.edu
    Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
    Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
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