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    MEDINFO
    2007
    266views Healthcare» more  MEDINFO 2007»
    Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
    13 years 9 months ago
    Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
    Download  skynet.ohsu.edu
    Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
    Jayashree Kalpathy-Cramer, William R. Hersh
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    CIARP
    2007
    Springer
    117views Pattern Recognition» more  CIARP 2007»
    Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers
    14 years 2 months ago
    Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers
    Download  ccc.inaoep.mx
    Heidy Marin-Castro, Luis Enrique Sucar, Eduardo F....
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    JACIII
    2007
    59views more  JACIII 2007»
    Context Dependent Automatic Textile Image Annotation Using Networked Knowledge
    13 years 7 months ago
    Context Dependent Automatic Textile Image Annotation Using Networked Knowledge
    Download  www.fujipress.jp
    Yosuke Furukawa, Yusuke Kamoi, Tatsuya Sato, Tomoh...
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    CLOR
    2006
    215views Computer Vision» more  CLOR 2006»
    A Discriminative Framework for Texture and Object Recognition Using Local Image Features
    13 years 11 months ago
    A Discriminative Framework for Texture and Object Recognition Using Local Image Features
    Download  www-cvr.ai.uiuc.edu
    This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
    Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
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    ACL
    2006
    137views Computational Linguistics» more  ACL 2006»
    Machine Learning of Temporal Relations
    13 years 9 months ago
    Machine Learning of Temporal Relations
    Download  acl.ldc.upenn.edu
    This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
    Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong ...
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