Fundamentals of matrix computations
Fundamentals of matrix computations
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Adaptive blind separation of independent sources: a deflation approach
Signal Processing
Journal of Cognitive Neuroscience
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
A survey on feature extraction for pattern recognition
Artificial Intelligence Review
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This paper addresses the problem of face recognition using independent component analysis. As the independent components (IC) are not orthogonal, to represent a face image using the determined ICs, the ICs have to be orthogonalized, where two methods, namely Gram-Schmit Method and Householder Transformation, are proposed. In addition, to find a better set of ICs for face recognition, an efficient IC selection algorithm is developed. Face images with different facial expressions, pose variations and small occlusions are selected to test the ICA face representation and the results are encouraging.