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    PRL
    2008
    124views more  PRL 2008»
    Matrix-pattern-oriented least squares support vector classifier with AdaBoost
    14 years 9 months ago
    Matrix-pattern-oriented least squares support vector classifier with AdaBoost
    Download  parnec.nuaa.edu.cn
    : Matrix-pattern-oriented Least Squares Support Vector Classifier (MatLSSVC) can directly classify matrix patterns and has a superior classification performance than its vector ver...
    Zhe Wang, Songcan Chen
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    MICCAI
    2002
    Springer
    226views Medical Imaging» more  MICCAI 2002»
    Comparative Exudate Classification Using Support Vector Machines and Neural Networks
    15 years 10 months ago
    Comparative Exudate Classification Using Support Vector Machines and Neural Networks
    Download  www.cs.bris.ac.uk
    After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
    Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
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    ICPR
    2006
    IEEE
    143views computer vision» more  ICPR 2006»
    Fast Support Vector Machine Classification using linear SVMs
    15 years 10 months ago
    Fast Support Vector Machine Classification using linear SVMs
    Download  eprints.pascal-network.org
    We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
    Karina Zapien Arreola, Janis Fehr, Hans Burkhardt
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    BMCBI
    2008
    88views more  BMCBI 2008»
    Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable
    14 years 9 months ago
    Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable
    Download  www.biomedcentral.com
    Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
    Myron Peto, Andrzej Kloczkowski, Vasant Honavar, R...
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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
    15 years 10 months 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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