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FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
15 years 4 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
ICASSP
2008
IEEE
15 years 4 months ago
Hierarchical lane detection for different types of roads
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first...
Hsu-Yung Cheng, Chih-Chang Yu, Chien-Cheng Tseng, ...
ICPR
2008
IEEE
15 years 4 months ago
Harmonic mean for subspace selection
Under the homoscedastic Gaussian assumption, it has been shown that Fisher’s linear discriminant analysis (FLDA) suffers from the class separation problem when the dimensionalit...
Wei Bian, Dacheng Tao
ICPR
2008
IEEE
15 years 4 months ago
Morphological source separation for particle tracking in complex biological environments
Tracking nano-metric particles in a biological environment is a very difficult task because of the low signal intensity and the high mobility of these small objects. The task bec...
Nicolas Chenouard, Samantha Vernhettes, Isabelle B...
ICPR
2008
IEEE
15 years 4 months ago
Pose adaptive LDA based face recognition
In this paper, a novel method based on pose adaptive linear discriminant analysis (PALDA) is proposed to deal with pose variation problems in face recognition when each person has...
Zhenger Wang, Xiaoqing Ding, Chi Fang