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IEEE Transactions on Pattern Analysis and Machine Intelligence
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
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A survey of free-form object representation and recognition techniques
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Principal Manifolds and Probabilistic Subspaces for Visual Recognition
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Kernel independent component analysis
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Recognizing faces with PCA and ICA
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Is ICA Significantly Better than PCA for Face Recognition?
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Face recognition by Kernel independent component analysis
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
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Enhanced independent component analysis and its application to content based face image retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the selection and classification of independent features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and robust fixed-point algorithms for independent component analysis
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Face recognition by independent component analysis
IEEE Transactions on Neural Networks
A neural-network appearance-based 3-D object recognition using independent component analysis
IEEE Transactions on Neural Networks
Independent component analysis of Gabor features for face recognition
IEEE Transactions on Neural Networks
Detection of free-form objects using appearance-based local features
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Independent components extraction from image matrix
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Natural Language Engineering
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The small sample size problem of ICA: A comparative study and analysis
Pattern Recognition
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Recently, a number of empirical studies have compared the performance of PCA and ICA as feature extraction methods in appearance-based object recognition systems, with mixed and seemingly contradictory results. In this paper, we briefly describe the connection between the two methods and argue that whitened PCA may yield identical results to ICA in some cases. Furthermore, we describe the specific situations in which ICA might significantly improve on PCA.