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    CVPR
    2008
    IEEE
    276views Computer Vision» more  CVPR 2008»
    Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
    14 years 11 months ago
    Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
    Download  people.csail.mit.edu
    We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
    Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
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    AAAI
    1996
    120views Intelligent Agents» more  AAAI 1996»
    A Hybrid Learning Approach for Better Recognition of Visual Objects
    13 years 10 months ago
    A Hybrid Learning Approach for Better Recognition of Visual Objects
    Download  www.aaai.org
    Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...
    Ibrahim F. Imam, Srinivas Gutta
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    CG
    2010
    Springer
    154views Computer Graphics» more  CG 2010»
    An evaluation of descriptors for large-scale image retrieval from sketched feature lines
    13 years 9 months ago
    An evaluation of descriptors for large-scale image retrieval from sketched feature lines
    Download  perso.telecom-paristech.fr
    We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
    Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
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    ICPR
    2008
    IEEE
    142views Computer Vision» more  ICPR 2008»
    Object detection at multiple scales improves accuracy
    14 years 10 months ago
    Object detection at multiple scales improves accuracy
    Download  www.mit.edu
    For detecting objects in natural visual scenes, several powerful image features have been proposed which can collectively be described as spatial histograms of oriented energy. Th...
    Stanley M. Bileschi
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    CLEF
    2010
    Springer
    185views Information Technology» more  CLEF 2010»
    A Novel Structural-Description Approach for Image Retrieval
    13 years 10 months ago
    A Novel Structural-Description Approach for Image Retrieval
    Download  clef2010.org
    We tested our image classification methodology in the photo-annotation task of the ImageCLEF competition [Nowak, 2010] using a visual-only approach performing automated labeling. ...
    Christoph Rasche, Constantin Vertan
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