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ICDCSW
2006
IEEE
14 years 1 months ago
Dealing with Class Skew in Context Recognition
As research in context recognition moves towards more maturity and real life applications, appropriate and reliable performance metrics gain importance. This paper focuses on the ...
Mathias Stäger, Paul Lukowicz, Gerhard Tr&oum...
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 2 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
ICML
2005
IEEE
14 years 8 months ago
Linear Asymmetric Classifier for cascade detectors
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
Jianxin Wu, Matthew D. Mullin, James M. Rehg
CVPR
2007
IEEE
14 years 9 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
MVA
1996
177views Computer Vision» more  MVA 1996»
13 years 9 months ago
An Adaptive Threshold Method for Gray Scale Character Images
Gray-scale document images are binarized in order to perform optical character recognition (OCR). To perform this binarization, a variety of techniques have been proposed for perf...
Ming Yu, Shinji Ozawa