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PR
2008
144views more  PR 2008»
13 years 8 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...
CVPR
2007
IEEE
14 years 10 months ago
Linear Laplacian Discrimination for Feature Extraction
Discriminant feature extraction plays a fundamental role in pattern recognition. In this paper, we propose the Linear Laplacian Discrimination (LLD) algorithm for discriminant fea...
Deli Zhao, Zhouchen Lin, Rong Xiao, Xiaoou Tang
ICASSP
2009
IEEE
14 years 3 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
ECML
2005
Springer
14 years 2 months ago
On Discriminative Joint Density Modeling
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...