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    PAMI
    2012
    235views Software Engineering» more  PAMI 2012»
    Unsupervised Learning of Categorical Segments in Image Collections
    13 years 6 days ago
    Unsupervised Learning of Categorical Segments in Image Collections
    Download  www.vision.caltech.edu
    Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
    Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
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    MVA
    1992
    110views Computer Vision» more  MVA 1992»
    A Multi-Scale Regularity Measure as Geometric Criterion for Image Segmentation
    14 years 11 months ago
    A Multi-Scale Regularity Measure as Geometric Criterion for Image Segmentation
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Bruno Vasselle, Gérard Giraudon
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    CVIU
    2008
    296views more  CVIU 2008»
    Image segmentation evaluation: A survey of unsupervised methods
    14 years 9 months ago
    Image segmentation evaluation: A survey of unsupervised methods
    Download  mathcs.slu.edu
    Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
    Hui Zhang, Jason E. Fritts, Sally A. Goldman
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    ICIP
    2003
    IEEE
    96views Image Processing» more  ICIP 2003»
    Unsupervised multicomponent image segmentation combining a vectorial HMC model and ICA
    15 years 11 months ago
    Unsupervised multicomponent image segmentation combining a vectorial HMC model and ICA
    Download  www-public.int-evry.fr
    Grégoire Mercier, Stéphane Derrode, ...
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    NIPS
    2008
    171views Information Technology» more  NIPS 2008»
    Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
    14 years 11 months ago
    Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
    Download  www.cs.brown.edu
    We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from image databases. Examining a large set of manuall...
    Erik B. Sudderth, Michael I. Jordan
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