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» Boosting linear discriminant analysis for face recognition
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JMM2
2008
157views more  JMM2 2008»
13 years 7 months ago
Multiresolution Feature Based Fractional Power Polynomial Kernel Fisher Discriminant Model for Face Recognition
This paper presents a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal mul...
Dattatray V. Jadhav, Jayant V. Kulkarni, Raghunath...
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
14 years 1 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
JCISD
2006
114views more  JCISD 2006»
13 years 7 months ago
Ensemble of Linear Models for Predicting Drug Properties
We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...
Tomasz Arodz, David A. Yuen, Arkadiusz Z. Dudek
SIBGRAPI
2009
IEEE
14 years 2 months ago
A Multi-linear Discriminant Analysis of 2D Frontal Face Images
We have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is...
Carlos E. Thomaz, Vagner do Amaral, Gilson Antonio...
BIOID
2011
291views Biometrics» more  BIOID 2011»
12 years 11 months ago
Local Binary LDA for Face Recognition
Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from imag...
Ivan Fratric, Slobodan Ribaric