Application of the MEC network to principal component analysis and source separation

Author:

Fiori Simone,Uncini Aurelio,Piazza Francesco

Publisher

Springer Berlin Heidelberg

Reference6 articles.

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2. Diamantaras K.I., Kung S.-Y.: Principal Component Neural Networks: Theory and Applications. J. Wiley, 1996

3. Fiori S., Uncini A., Piazza F.: A New Unsupervised Neural Algorithm for Orthonormal Signal Processing. Proc. of Int. Conf. Acoustic, Speech and Signal Processing — ICASSP (1997) 3349–3352

4. Laheld B., Cardoso J.F.: Adaptive Source Separation with Uniform Performances. Signal Processing VII: Theories and Applications 1 (1994) 183–186

5. Karhunen J., Joutsensalo J.: Learning of Robust Principal Component Subspace. Proc. of Int. Joint Conf. on N.N.-IJCNN 3 (1993) 2409–2412

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2. Neural Learning and Weight Flow on Stiefel Manifold;Perspectives in Neural Computing;1999

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