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    ICDAR
    2009
    IEEE
    213views Document Analysis» more  ICDAR 2009»
    Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
    13 years 4 months ago
    Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
    Download  www.cvc.uab.es
    Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
    Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
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    ICPR
    2010
    IEEE
    243views Computer Vision» more  ICPR 2010»
    Adaptive Incremental Learning with an Ensemble of Support Vector Machines
    13 years 6 months ago
    Adaptive Incremental Learning with an Ensemble of Support Vector Machines
    Download  www.livia.etsmtl.ca
    The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
    Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
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    JSS
    2008
    317views more  JSS 2008»
    Predicting defect-prone software modules using support vector machines
    13 years 6 months ago
    Predicting defect-prone software modules using support vector machines
    Download  isi.kfupm.edu.sa
    Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
    Karim O. Elish, Mahmoud O. Elish
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    BMCBI
    2008
    134views more  BMCBI 2008»
    Prediction of protein-protein binding site by using core interface residue and support vector machine
    13 years 6 months ago
    Prediction of protein-protein binding site by using core interface residue and support vector machine
    Download  www.biomedcentral.com
    Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
    Nan Li, Zhonghua Sun, Fan Jiang
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    IGARSS
    2010
    162views Remote Sensing» more  IGARSS 2010»
    Support vector machines regression for estimation of forest parameters from airborne laser scanning data
    13 years 4 months ago
    Support vector machines regression for estimation of forest parameters from airborne laser scanning data
    Download  hal.archives-ouvertes.fr
    Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous field plots for model calibration. In mountainou...
    Jean-Matthieu Monnet, Frédéric Berge...
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