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    IJCV
    2008
    192views more  IJCV 2008»
    Learning to Locate Informative Features for Visual Identification
    13 years 5 months ago
    Learning to Locate Informative Features for Visual Identification
    Download  www.cs.umass.edu
    Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
    Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
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    PR
    2008
    161views more  PR 2008»
    A study on three linear discriminant analysis based methods in small sample size problem
    13 years 5 months ago
    A study on three linear discriminant analysis based methods in small sample size problem
    Download  www.public.asu.edu
    In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
    Jun Liu, Songcan Chen, Xiaoyang Tan
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    PRL
    2008
    152views more  PRL 2008»
    WND-CHARM: Multi-purpose image classification using compound image transforms
    13 years 5 months ago
    WND-CHARM: Multi-purpose image classification using compound image transforms
    Download  www.phy.mtu.edu
    We describe a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provide classificati...
    Nikita Orlov, Lior Shamir, Tomasz J. Macura, Josia...
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    TCSV
    2008
    195views more  TCSV 2008»
    Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
    13 years 5 months ago
    Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
    Download  www4.comp.polyu.edu.hk
    Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
    Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
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    TRS
    2008
    136views Artificial Intelligence» more  TRS 2008»
    The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
    13 years 5 months ago
    The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory
    Download  www.umassmed.edu
    A popular view is that the brain works in a similar way to a digital computer or a Universal Turing Machine by processing symbols. Psychophysical experiments and our amazing capabi...
    Andrzej W. Przybyszewski
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