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CRV
2005
IEEE
132views Robotics» more  CRV 2005»
14 years 2 months ago
Face Recognition with Weighted Locally Linear Embedding
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
Nathan Mekuz, Christian Bauckhage, John K. Tsotsos
SPEECH
1998
171views more  SPEECH 1998»
13 years 8 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
TIP
2010
138views more  TIP 2010»
13 years 3 months ago
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude ...
Shufu Xie, Shiguang Shan, Xilin Chen, Jie Chen
CVPR
2003
IEEE
14 years 10 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
ICANN
2005
Springer
14 years 2 months ago
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
Pietro Berkes