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SINOBIOMETRICS
2004
Springer
16 years 19 days ago
Component-Based Cascade Linear Discriminant Analysis for Face Recognition
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...
Wenchao Zhang, Shiguang Shan, Wen Gao, Yizheng Cha...
ICTAI
2007
IEEE
16 years 1 months ago
Facial Image Retrieval through Compound Queries Using Constrained Independent Component Analysis
In this work we present a new technique of facial-image retrieval using constrained independent component analysis (cICA). We have employed cICA for the online extraction of those...
Bilal Ahmed, Tahir Rasheed, Young-Koo Lee, Sungyou...
ICPR
2004
IEEE
16 years 8 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
16 years 1 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
ISNN
2004
Springer
16 years 19 days ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou