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» Face Recognition Based on Discriminative Manifold Learning
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MCS
2000
Springer
15 years 1 months ago
Combining Fisher Linear Discriminants for Dissimilarity Representations
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
CVPR
2005
IEEE
15 years 3 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 3 months ago
Facial Expression Analysis Using Nonlinear Decomposable Generative Models
We present a new framework to represent and analyze dynamic facial motions using a decomposable generative model. In this paper, we consider facial expressions which lie on a one d...
Chan-Su Lee, Ahmed M. Elgammal
IJON
2010
150views more  IJON 2010»
14 years 8 months ago
Linear discriminant analysis using rotational invariant L1 norm
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
MVA
2000
172views Computer Vision» more  MVA 2000»
14 years 11 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi