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    DBA
    2006
    182views Database» more  DBA 2006»
    Matrix Apriori: Speeding Up the Search for Frequent Patterns
    13 years 10 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
    14 years 1 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
    14 years 20 days 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
    13 years 8 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
    13 years 6 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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