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    DSSCV
    2005
    Springer
    135views Computer Vision» more  DSSCV 2005»
    A Riemannian Framework for the Processing of Tensor-Valued Images
    14 years 1 months ago
    A Riemannian Framework for the Processing of Tensor-Valued Images
    Download  www-sop.inria.fr
    In this paper, we present a novel framework to carry out computations on tensors, i.e. symmetric positive definite matrices. We endow the space of tensors with an affine-invariant...
    Pierre Fillard, Vincent Arsigny, Nicholas Ayache, ...
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    JMLR
    2010
    147views more  JMLR 2010»
    Spectral Regularization Algorithms for Learning Large Incomplete Matrices
    13 years 2 months ago
    Spectral Regularization Algorithms for Learning Large Incomplete Matrices
    Download  jmlr.csail.mit.edu
    We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
    Rahul Mazumder, Trevor Hastie, Robert Tibshirani
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    JDCTA
    2010
    188views more  JDCTA 2010»
    Compressive Sensing Signal Detection Algorithm Based on Location Information of Sparse Coefficients
    13 years 2 months ago
    Compressive Sensing Signal Detection Algorithm Based on Location Information of Sparse Coefficients
    Download  www.aicit.org
    Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...
    Bing Liu, Ping Fu, Shengwei Meng, Lunping Guo
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    FLAIRS
    2006
    119views Artificial Intelligence» more  FLAIRS 2006»
    Using Web Searches on Important Words to Create Background Sets for LSI Classification
    13 years 9 months ago
    Using Web Searches on Important Words to Create Background Sets for LSI Classification
    Download  www.cs.csi.cuny.edu
    The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
    Sarah Zelikovitz, Marina Kogan
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    WWW
    2005
    ACM
    109views Internet Technology» more  WWW 2005»
    On the feasibility of low-rank approximation for personalized PageRank
    14 years 8 months ago
    On the feasibility of low-rank approximation for personalized PageRank
    Download  www.www2005.org
    Personalized PageRank expresses backlink-based page quality around user-selected pages in a similar way to PageRank over the entire Web. Algorithms for computing personalized Page...
    András A. Benczúr, Károly Csa...
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