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    » Co-Tracking Using Semi-Supervised Support Vector Machines
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    SDM
    2010
    SIAM
    226views Data Mining» more  SDM 2010»
    Two-View Transductive Support Vector Machines
    15 years 1 months ago
    Two-View Transductive Support Vector Machines
    Download  www.cais.ntu.edu.sg
    Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
    Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
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    ML
    2002
    ACM
    180views Machine Learning» more  ML 2002»
    Gene Selection for Cancer Classification using Support Vector Machines
    14 years 11 months ago
    Gene Selection for Cancer Classification using Support Vector Machines
    Download  www.kyb.tuebingen.mpg.de
    Isabelle Guyon, Jason Weston, Stephen Barnhill, Vl...
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    TNN
    2010
    143views Management» more  TNN 2010»
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    14 years 6 months ago
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    Download  www.smartlab.dibe.unige.it
    Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
    Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
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    ICPR
    2004
    IEEE
    157views computer vision» more  ICPR 2004»
    Corner Detection Using Support Vector Machines
    16 years 28 days ago
    Corner Detection Using Support Vector Machines
    Download  www.isical.ac.in
    A support vector machine based algorithm for corner detection is presented. It is based on computing the direction of maximum gray-level change for each edge pixel in an image, an...
    Malay K. Kundu, Minakshi Banerjee, Pabitra Mitra
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    KDD
    2004
    ACM
    163views Data Mining» more  KDD 2004»
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    16 years 7 days ago
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    Download  array.bioengr.uic.edu
    Zhengdeng Lei, Yang Dai
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