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ECCV
2004
Springer
14 years 3 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
FGR
2008
IEEE
246views Biometrics» more  FGR 2008»
13 years 10 months ago
Discriminant analysis for perceptionally comparable classes
Traditional discriminate analysis treats all the involved classes equally in the computation of the between-class scatter matrix. However, we find that for many vision tasks, the...
Bingpeng Ma, Shiguang Shan, Xilin Chen, Wen Gao
AAAI
2010
13 years 10 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...
PAA
2008
13 years 9 months ago
Online nonparametric discriminant analysis for incremental subspace learning and recognition
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
Bogdan Raducanu, Jordi Vitrià
PR
2008
144views more  PR 2008»
13 years 9 months ago
Kernel quadratic discriminant analysis for small sample size problem
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
Jie Wang, Konstantinos N. Plataniotis, Juwei Lu, A...