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    » Feature Engineering for Text Classification
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    HCI
    2009
    191views Human Computer Interaction» more  HCI 2009»
    Study of Feature Values for Subjective Classification of Music
    14 years 7 months ago
    Study of Feature Values for Subjective Classification of Music
    Download  www.hm.indsys.chuo-u.ac.jp
    : In this research, we analyze how the sound and music relate to humans from the aspect of Kansei engineering. We analyze what features of the sound humans pay attention and how hu...
    Masashi Murakami, Toshikazu Kato
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    EDBT
    2006
    ACM
    153views Database» more  EDBT 2006»
    MUSCLE: Music Classification Engine with User Feedback
    15 years 9 months ago
    MUSCLE: Music Classification Engine with User Feedback
    Download  www.dbs.informatik.uni-muenchen.de
    Nowadays, powerful music compression tools and cheap mass storage devices have become widely available. This allows average consumers to transfer entire music collections from the ...
    Stefan Brecheisen, Hans-Peter Kriegel, Peter Kunat...
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    ICMCS
    2010
    IEEE
    231views Multimedia» more  ICMCS 2010»
    Event based news video people classification and ranking using multimodality features
    14 years 7 months ago
    Event based news video people classification and ranking using multimodality features
    Download  www.jdl.ac.cn
    Existing research on news video analysis mainly concentrates on structure analysis, semantic concept detection, annotation and search. However, little work has been contributed to...
    Chunxi Liu, Qingming Huang, Shuqiang Jiang, Changs...
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    13 years 1 days ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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    IJCAI
    2003
    130views Artificial Intelligence» more  IJCAI 2003»
    Learning to Classify Texts Using Positive and Unlabeled Data
    14 years 11 months ago
    Learning to Classify Texts Using Positive and Unlabeled Data
    Download  www.cs.uic.edu
    In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
    Xiaoli Li, Bing Liu
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