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» A Discriminant Analysis for Undersampled Data
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EEE
2005
IEEE
14 years 1 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
CVPR
2009
IEEE
13 years 11 months 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...
AAAI
2008
13 years 10 months ago
Sparse Projections over Graph
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Deng Cai, Xiaofei He, Jiawei Han
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 8 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
EUROSSC
2008
Springer
13 years 9 months ago
People Identification Using Gait Via Floor Pressure Sensing and Analysis
This paper presents an approach to people identification using gait based on floor pressure data. By using a large area high resolution pressure sensing floor, we were able to obta...
Gang Qian, Jiqing Zhang, Assegid Kidané