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    DAGM
    2008
    Springer
    149views Image Processing» more  DAGM 2008»
    Learning Visual Compound Models from Parallel Image-Text Datasets
    13 years 11 months ago
    Learning Visual Compound Models from Parallel Image-Text Datasets
    Download  www.cs.toronto.edu
    Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
    Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
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    DAS
    2008
    Springer
    102views Document Analysis» more  DAS 2008»
    The Convergence of Iterated Classification
    13 years 11 months ago
    The Convergence of Iterated Classification
    Download  www.cse.lehigh.edu
    We report an improved methodology for training a sequence of classifiers for document image content extraction, that is, the location and segmentation of regions containing handwr...
    Chang An, Henry S. Baird
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    CIMAGING
    2008
    141views Hardware» more  CIMAGING 2008»
    Segmentation of digital microscopy data for the analysis of defect structures in materials using nonlinear diffusions
    13 years 11 months ago
    Segmentation of digital microscopy data for the analysis of defect structures in materials using nonlinear diffusions
    Download  cobweb.ecn.purdue.edu
    We apply stabilized inverse diffusion equations (SIDEs) to segment microscopy images of materials to aid in analysis of defects. We extend SIDE segmentation methods and demonstrat...
    Landis M. Huffman, Jeff P. Simmons, Ilya Pollak
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    LREC
    2008
    93views Education» more  LREC 2008»
    Targeting Chinese Nominal Compounds in Corpora
    13 years 11 months ago
    Targeting Chinese Nominal Compounds in Corpora
    Download  www.lrec-conf.org
    For compounding languages, a great part of the topical semantics is conveyed via nominal compounds. Various applications of natural language processing can profit from explicit ac...
    Weiruo Qu, Christoph Ringlstetter, Randy Goebel
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    MVA
    2007
    203views Computer Vision» more  MVA 2007»
    Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images
    13 years 11 months ago
    Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images
    Download  b2.cvl.iis.u-tokyo.ac.jp
    This paper proposes a novel system for the automatic detection of important anatomical structures such as the Optic Disc (OD), Blood Vessels and Macula in digital fundus retinal i...
    Anantha Vidya Sagar, S. Balasubramanian, V. Chandr...
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