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SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
14 years 1 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
ICPR
2004
IEEE
14 years 10 months ago
Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
Chengjun Liu, Peichung Shih
BMCBI
2008
178views more  BMCBI 2008»
13 years 9 months ago
A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic ana
Background: Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) ...
Bin Liu, Xiaolong Wang, Lei Lin, Qiwen Dong, Xuan ...
ECCV
2004
Springer
14 years 2 months ago
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan
ICIP
2003
IEEE
14 years 10 months ago
Boosting linear discriminant analysis for face recognition
In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where hig...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...