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    PRL
    2007
    131views more  PRL 2007»
    A new look at discriminative training for hidden Markov models
    13 years 11 months ago
    A new look at discriminative training for hidden Markov models
    Download  research.microsoft.com
    ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classi...
    Xiaodong He, Li Deng
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    PRL
    2007
    166views more  PRL 2007»
    Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
    13 years 11 months ago
    Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
    Download  www.maia.ub.es
    In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
    Sergio Escalera, Oriol Pujol, Petia Radeva
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    PRL
    2007
    94views more  PRL 2007»
    Image analysis by discrete orthogonal dual Hahn moments
    13 years 11 months ago
    Image analysis by discrete orthogonal dual Hahn moments
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    Hongqing Zhu, Huazhong Shu, Jian Zhou, Limin Luo, ...
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    PRL
    2007
    99views more  PRL 2007»
    Polygonal shape description for recognition of partially occluded objects
    13 years 11 months ago
    Polygonal shape description for recognition of partially occluded objects
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    We introduce a new method for the recognition of partially occluded objects represented only by their contours. Object description, which stems from the inflection point detectio...
    Filip Krolupper, Jan Flusser
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    PRL
    2007
    155views more  PRL 2007»
    Integrated patch model: A generative model for image categorization based on feature selection
    13 years 11 months ago
    Integrated patch model: A generative model for image categorization based on feature selection
    Download  www.ee.tsinghua.edu.cn
    Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
    Feng Xu, Yu-Jin Zhang
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    PRL
    2007
    138views more  PRL 2007»
    Ent-Boost: Boosting using entropy measures for robust object detection
    13 years 11 months ago
    Ent-Boost: Boosting using entropy measures for robust object detection
    Download  satoh-lab.ex.nii.ac.jp
    Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
    Duy-Dinh Le, Shin'ichi Satoh
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    PRL
    2007
    148views more  PRL 2007»
    Damascening video databases for evaluation of face tracking and recognition - The DXM2VTS database
    13 years 11 months ago
    Damascening video databases for evaluation of face tracking and recognition - The DXM2VTS database
    Download  www.hh.se
    Performance quantification of biometric systems, such as face tracking and recognition highly depend on the database used for testing the systems. Systems trained and tested on r...
    Dereje Teferi, Josef Bigün
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    PRL
    2007
    96views more  PRL 2007»
    An Integrated Color and Intensity Co-occurrence Matrix
    13 years 11 months ago
    An Integrated Color and Intensity Co-occurrence Matrix
    Download  www.facweb.iitkgp.ernet.in
    The paper presents a novel approach for representing color and intensity of pixel neighborhoods in an image using a co-occurrence matrix. After analyzing the properties of the HSV...
    A. Vadivel, Shamik Sural, Arun K. Majumdar
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    PRL
    2007
    137views more  PRL 2007»
    Improving nearest neighbor rule with a simple adaptive distance measure
    13 years 11 months ago
    Improving nearest neighbor rule with a simple adaptive distance measure
    Download  sci2s.ugr.es
    The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes...
    Jigang Wang, Predrag Neskovic, Leon N. Cooper
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    PRL
    2007
    118views more  PRL 2007»
    Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
    13 years 11 months ago
    Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
    Download  plaza.ufl.edu
    Multi-class AdaBoost algorithms AdaBooost.MO, -ECC and -OC have received a great attention in the literature, but their relationships have not been fully examined to date. In this...
    Yijun Sun, Sinisa Todorovic, Jian Li
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