Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fractional-Step Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria
IEEE Transactions on Pattern Analysis and Machine Intelligence
Regularized discriminant analysis for the small sample size problem in face recognition
Pattern Recognition Letters
Feature extraction via generalized uncorrelated linear discriminant analysis
ICML '04 Proceedings of the twenty-first international conference on Machine learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Rapid and brief communication: Generalizing relevance weighted LDA
Pattern Recognition
Generalizing discriminant analysis using the generalized singular value decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A shape- and texture-based enhanced Fisher classifier for face recognition
IEEE Transactions on Image Processing
Adaptive quasiconformal kernel discriminant analysis
Neurocomputing
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
IEEE Transactions on Neural Networks
Weighted generalized kernel discriminant analysis using fuzzy memberships
WSEAS Transactions on Mathematics
Feature extraction using fuzzy maximum margin criterion
Neurocomputing
I-vector based speaker recognition using advanced channel compensation techniques
Computer Speech and Language
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In this paper, we propose a novel uncorrelated, weighted linear discriminant analysis (UWLDA) method for feature extraction and recognition. The UWLDA first introduces a weighting function to restrain the dominant role of the classes with larger distance and then searches the optimal discriminant vectors under the conjugative orthogonal constrains in the null space of the within-class scatter matrix and its conjugative orthogonal complement space, respectively. As a result, the proposed technique not only derive the optimal and lossless discriminative information, but also guarantee that all extracted features are statistically uncorrelated. Experiments on FERET face database and AR face database are performed to test and evaluate the proposed algorithm. The results demonstrate the effectiveness of UWLDA.