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    AUSDM
    2006
    Springer
    177views Data Mining» more  AUSDM 2006»
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    15 years 7 months ago
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    Download  crpit.com
    The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
    Tatjana Eitrich, Bruno Lang
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    126
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    DAGSTUHL
    2007
    108views Software Engineering» more  DAGSTUHL 2007»
    Software Development Support for Ambient Assisted Living
    15 years 5 months ago
    Software Development Support for Ambient Assisted Living
    Download  drops.dagstuhl.de
    Key issues in software development support for Ambient Intelligence and Ubiquitous Computing are briefly discussed; special requirements in the context of Ambient Assisted Living a...
    Max Mühlhäuser
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    124
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    JUCS
    2010
    143views more  JUCS 2010»
    Information Support Services for Intermediation Tasks of Collaborative Networks
    15 years 2 months ago
    Information Support Services for Intermediation Tasks of Collaborative Networks
    Download  www.jucs.org
    : Companies in collaborative networks require intermediation to perform. The collaborative network forms the breeding environment for the configuration of a Virtual Enterprise that...
    Heiko Thimm, Karsten Boye Rasmussen
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    95
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    ICIP
    2002
    IEEE
    98views Image Processing» more  ICIP 2002»
    On the stability of support vector machines for face detection
    16 years 5 months ago
    On the stability of support vector machines for face detection
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    Ioan Buciu, Constantine Kotropoulos, Ioannis Pitas
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    ICIP
    2000
    IEEE
    153views Image Processing» more  ICIP 2000»
    Gender Classification Using Support Vector Machines
    16 years 5 months ago
    Gender Classification Using Support Vector Machines
    Download  www.ece.umd.edu
    Ming-Hsuan Yang, Baback Moghaddam
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