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CVPR
2005
IEEE
14 years 9 months ago
Nonparametric Subspace Analysis for Face Recognition
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang
ICIP
2005
IEEE
14 years 1 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
14 years 22 days ago
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
Carlos E. Thomaz, Duncan Fyfe Gillies
AAAI
2006
13 years 9 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
TIFS
2008
157views more  TIFS 2008»
13 years 7 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...