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    ICPR
    2000
    IEEE
    177views computer vision» more  ICPR 2000»
    Automatic Genre Identification for Content-Based Video Categorization
    13 years 12 months ago
    Automatic Genre Identification for Content-Based Video Categorization
    Download  www.computing.edu.au
    Thispaper presents a set of computationalfeatures originatingfrom our study of editing effects, motion, and color used in videos,for the task of automatic video categorization. Th...
    Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
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    BMCBI
    2005
    118views more  BMCBI 2005»
    Feature selection and nearest centroid classification for protein mass spectrometry
    13 years 7 months ago
    Feature selection and nearest centroid classification for protein mass spectrometry
    Download  www.biomedcentral.com
    Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
    Ilya Levner
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    ICMCS
    2010
    IEEE
    212views Multimedia» more  ICMCS 2010»
    Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
    13 years 8 months ago
    Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
    Download  www.iis.sinica.edu.tw
    Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
    Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang
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    BMCBI
    2007
    153views more  BMCBI 2007»
    Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
    13 years 7 months ago
    Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
    Download  www.biomedcentral.com
    Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
    Matthew Landry, Stephen Winters-Hilt
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    KDD
    2007
    ACM
    202views Data Mining» more  KDD 2007»
    Support feature machine for classification of abnormal brain activity
    14 years 8 months ago
    Support feature machine for classification of abnormal brain activity
    Download  dimacs.rutgers.edu
    In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
    Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
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