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    IJACTAICIT
    2010
    213views more  IJACTAICIT 2010»
    Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
    13 years 4 months ago
    Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
    Download  www.aicit.org
    The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
    Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
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    IMECS
    2007
    187views Theoretical Computer Science» more  IMECS 2007»
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    13 years 8 months ago
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    Download  www.iaeng.org
    — Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
    Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
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    ICMLA
    2003
    169views Machine Learning» more  ICMLA 2003»
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    13 years 8 months ago
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    Download  www.cs.ucdavis.edu
    — Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
    Wenjie Hu, Yihua Liao, V. Rao Vemuri
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    ICARCV
    2002
    IEEE
    109views Robotics» more  ICARCV 2002»
    Quantized wavelet features and support vector machines for on-road vehicle detection
    14 years 10 days ago
    Quantized wavelet features and support vector machines for on-road vehicle detection
    Download  www.cse.unr.edu
    The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
    Zehang Sun, George Bebis, Ronald Miller
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    TMI
    2010
    172views more  TMI 2010»
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    13 years 5 months ago
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    Download  www.loni.ucla.edu
    Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
    Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
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