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    » Dimensionality Reduction with Adaptive Kernels
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    ICDAR
    2007
    IEEE
    200views Document Analysis» more  ICDAR 2007»
    Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
    14 years 1 months ago
    Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
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    Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
    J. Chen, Y. Wang
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    TKDE
    2008
    121views more  TKDE 2008»
    Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
    13 years 7 months ago
    Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
    Download  www.cs.odu.edu
    Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
    Shuiwang Ji, Jieping Ye
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    GPB
    2010
    231views Solid Modeling» more  GPB 2010»
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    13 years 4 months ago
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    Download  estbioinfo.stat.ub.es
    The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
    Ferran Reverter, Esteban Vegas, Pedro Sánch...
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    CORR
    2007
    Springer
    164views Education» more  CORR 2007»
    Consistency of the group Lasso and multiple kernel learning
    13 years 7 months ago
    Consistency of the group Lasso and multiple kernel learning
    Download  www.di.ens.fr
    We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
    Francis Bach
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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