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    DBA
    2006
    182views Database» more  DBA 2006»
    Matrix Apriori: Speeding Up the Search for Frequent Patterns
    14 years 11 months ago
    Matrix Apriori: Speeding Up the Search for Frequent Patterns
    Download  lib.semi.ac.cn
    This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
    Judith Pavón, Sidney Viana, Santiago G&oacu...
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    STOC
    1998
    ACM
    111views Algorithms» more  STOC 1998»
    A Deterministic Strongly Polynomial Algorithm for Matrix Scaling and Approximate Permanents
    15 years 2 months ago
    A Deterministic Strongly Polynomial Algorithm for Matrix Scaling and Approximate Permanents
    Download  www.math.ias.edu
    We present a deterministic strongly polynomial algorithm that computes the permanent of a nonnegative n × n matrix to within a multiplicative factor of en. To this end we develop...
    Nathan Linial, Alex Samorodnitsky, Avi Wigderson
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    ICASSP
    2009
    IEEE
    218views Signal Processing» more  ICASSP 2009»
    Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
    15 years 1 months ago
    Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
    Download  www.irisa.fr
    We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
    Alexey Ozerov, Cédric Févotte
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    IJON
    2008
    116views more  IJON 2008»
    Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
    14 years 9 months ago
    Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
    Download  www.bcl.hamilton.ie
    Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
    Paul D. O'Grady, Barak A. Pearlmutter
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    GLOBECOM
    2009
    IEEE
    112views Communications» more  GLOBECOM 2009»
    Constellation Precoded Beamforming
    14 years 7 months ago
    Constellation Precoded Beamforming
    Download  gram.eng.uci.edu
    Abstract--We present and analyze the performance of constellation precoded beamforming. This multi-input multi-output transmission technique is based on the singular value decompos...
    Hong Ju Park, Ender Ayanoglu
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