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» Semi-supervised Discriminant Analysis
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BMCBI
2010
135views more  BMCBI 2010»
13 years 9 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
EEE
2005
IEEE
14 years 2 months ago
Predicting the Survival or Failure of Click-and-Mortar Corporations
With the boom in e-business, several corporations have emerged in the late nineties that have primarily conducted their business through the Internet and the Web. They have come t...
Indranil Bose, Raktim Pal
SIBGRAPI
2005
IEEE
14 years 2 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
ICPR
2000
IEEE
14 years 1 months ago
Automatic Left Ventricular Endocardium Detection in Echocardiograms Based on Ternary Thresholding Method
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...
CVPR
2009
IEEE
14 years 25 days ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...