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    ICPR
    2002
    IEEE
    86views computer vision» more  ICPR 2002»
    To Each According to its Need: Kernel Class Specific Classifiers
    14 years 6 months ago
    To Each According to its Need: Kernel Class Specific Classifiers
    Download  www.nada.kth.se
    We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
    Barbara Caputo, Heinrich Niemann
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    MVA
    2007
    133views Computer Vision» more  MVA 2007»
    Selection of Object Recognition Methods According to the Task and Object Category
    13 years 6 months ago
    Selection of Object Recognition Methods According to the Task and Object Category
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
    Al Mansur, Yoshinori Kuno
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    NIPS
    2008
    163views Information Technology» more  NIPS 2008»
    Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
    13 years 6 months ago
    Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
    Download  www.cs.huji.ac.il
    Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
    Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
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    RIAO
    2000
    140views Information Technology» more  RIAO 2000»
    Classification of Radiographs in the 'Image Retrieval in Medical Applications' - System
    13 years 6 months ago
    Classification of Radiographs in the 'Image Retrieval in Medical Applications' - System
    Download  www-i6.informatik.rwth-aachen.de
    In this paper we present a new approach to classifying radiographs, which is the first important task of the IRMA system. Given an image, we compute posterior probabilities for ea...
    Jörg Dahmen, Thomas Theiner, Daniel Keysers, ...
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    ICIP
    2007
    IEEE
    225views Image Processing» more  ICIP 2007»
    Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
    14 years 6 months ago
    Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
    Download  videoprocessing.ucsd.edu
    Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
    Karl S. Ni, Truong Q. Nguyen
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