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    ASPDAC
    2007
    ACM
    144views Hardware» more  ASPDAC 2007»
    Parameter Reduction for Variability Analysis by Slice Inverse Regression (SIR) Method
    13 years 11 months ago
    Parameter Reduction for Variability Analysis by Slice Inverse Regression (SIR) Method
    Download  www.cecs.uci.edu
    With semiconductor fabrication technologies scaled below 100 nm, the design-manufacturing interface becomes more and more complicated. The resultant process variability causes a nu...
    Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
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    CVPR
    2006
    IEEE
    155views Computer Vision» more  CVPR 2006»
    Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach
    14 years 9 months ago
    Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach
    Download  www.public.asu.edu
    Several kernel algorithms have recently been proposed for nonlinear discriminant analysis. However, these methods mainly address the singularity problem in the high dimensional fe...
    Tao Xiong, Jieping Ye, Vladimir Cherkassky
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    ICPR
    2000
    IEEE
    136views computer vision» more  ICPR 2000»
    Automatic Left Ventricular Endocardium Detection in Echocardiograms Based on Ternary Thresholding Method
    13 years 12 months ago
    Automatic Left Ventricular Endocardium Detection in Echocardiograms Based on Ternary Thresholding Method
    Download  www.hi.info.mie-u.ac.jp
    Methods for automatic detection of left ventricular endocardium in echocardiograms are required to quantitatively evaluate the functional performance of the left ventricle. This s...
    Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimu...
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    ADAC
    2010
    105views more  ADAC 2010»
    Inference for robust canonical variate analysis
    13 years 7 months ago
    Inference for robust canonical variate analysis
    Download  users.ugent.be
    We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in th...
    Stefan Van Aelst, Gert Willems
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    EOR
    2007
    165views more  EOR 2007»
    Adaptive credit scoring with kernel learning methods
    13 years 7 months ago
    Adaptive credit scoring with kernel learning methods
    Download  www.crc.man.ed.ac.uk
    Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
    Yingxu Yang
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