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    IJON
    2010
    148views more  IJON 2010»
    Modeling radiation-induced lung injury risk with an ensemble of support vector machines
    13 years 6 months ago
    Modeling radiation-induced lung injury risk with an ensemble of support vector machines
    Download  www.cse.wustl.edu
    Radiation-induced lung injury, radiation pneumonitis (RP), is a potentially fatal side-effect of thoracic radiation therapy. In this work, using an ensemble of support vector mac...
    Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
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    ISNN
    2005
    Springer
    132views Neural Networks» more  ISNN 2005»
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    14 years 1 months ago
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    Download  www.dcs.warwick.ac.uk
    Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
    Peter Williams, Sheng Li, Jianfeng Feng, Si Wu
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    Publication
    265views
    Effective 2D-3D Medical Image Registration using Support Vector Machine
    14 years 4 months ago
    Effective 2D-3D Medical Image Registration using Support Vector Machine
    Download  med-x.sjtu.edu.cn
    Registration of pre-operative 3D volume dataset and intra-operative 2D images gradually becomes an important technique to assist radiologists in diagnosing complicated diseases. In...
    Wenyuan Qi, Lixu Gu
    posted by jimmyqwy
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    COLT
    2003
    Springer
    119views Machine Learning» more  COLT 2003»
    Learning with Rigorous Support Vector Machines
    14 years 1 months ago
    Learning with Rigorous Support Vector Machines
    Download  www.cs.rpi.edu
    We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
    Jinbo Bi, Vladimir Vapnik
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    ICPR
    2010
    IEEE
    260views Computer Vision» more  ICPR 2010»
    Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
    14 years 2 months ago
    Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
    Download  www.cadavidconcepts.com
    We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
    Steven Cadavid, Mohamed Abdel-Mottaleb
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