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» Linear Laplacian Discrimination for Feature Extraction
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PAMI
2008
153views more  PAMI 2008»
13 years 7 months ago
Correlation Metric for Generalized Feature Extraction
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...
Yun Fu, Shuicheng Yan, Thomas S. Huang
TKDE
2011
479views more  TKDE 2011»
13 years 2 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
ICASSP
2008
IEEE
14 years 1 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
ICDAR
2003
IEEE
14 years 19 days ago
Study of the Consistency of Some Discriminatory Features Used by Document Examiners in the Analysis of Handwritten Letter 'a'
In this paper a study of some structural features of handwritten letter ‘a’ is presented. The features under consideration are structural, style and formation features documen...
Philip Jonathan Sutanto, Graham Leedham, Vladimir ...
ISCAS
2006
IEEE
154views Hardware» more  ISCAS 2006»
14 years 1 months ago
A novel Fisher discriminant for biometrics recognition: 2DPCA plus 2DFLD
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
R. M. Mutelo, Li Chin Khor, Wai Lok Woo, Satnam Si...