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    MVA
    2002
    178views Computer Vision» more  MVA 2002»
    Advanced Image Retrieval Using Multi-resolution Image Content
    13 years 9 months ago
    Advanced Image Retrieval Using Multi-resolution Image Content
    Download  b2.cvl.iis.u-tokyo.ac.jp
    We introduce an image retrieval method for searchingan image database by using a query image that has similarity in its global and/or regional image contents to the intended targe...
    Motohide Yoshimura, Hajime Kiyose, Shigeo Abe
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    NN
    1998
    Springer
    177views Neural Networks» more  NN 1998»
    Soft vector quantization and the EM algorithm
    13 years 9 months ago
    Soft vector quantization and the EM algorithm
    Download  www.cmpe.boun.edu.tr
    The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
    Ethem Alpaydin
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    TAPOS
    1998
    93views more  TAPOS 1998»
    Object Acquaintance Selection and Binding
    13 years 9 months ago
    Object Acquaintance Selection and Binding
    Download  www.bth.se
    Large object-oriented systems have, at least, four characteristics that complicate object communication, i.e the system is distributed and contains large numbers, e.g. thousands, ...
    Jan Bosch
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    TIP
    1998
    99views more  TIP 1998»
    Nonlinear image estimation using piecewise and local image models
    13 years 9 months ago
    Nonlinear image estimation using piecewise and local image models
    Download  viva.ee.virginia.edu
    —We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
    Scott T. Acton, Alan C. Bovik
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    TIT
    1998
    90views more  TIT 1998»
    On the Complexity of Decoding Lattices Using the Korkin-Zolotarev Reduced Basis
    13 years 9 months ago
    On the Complexity of Decoding Lattices Using the Korkin-Zolotarev Reduced Basis
    Download  www.cst.uwaterloo.ca
    —Upper and lower bounds are derived for the decoding complexity of a general lattice L. The bounds are in terms of the dimension n and the coding gain of L, and are obtained ba...
    Amir H. Banihashemi, Amir K. Khandani
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