An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation
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[1] Yoshua Bengio,et al. Pattern Recognition and Neural Networks , 1995 .
[2] Jean-François Cardoso,et al. Equivariant adaptive source separation , 1996, IEEE Trans. Signal Process..
[3] Aapo Hyvärinen,et al. A Fast Fixed-Point Algorithm for Independent Component Analysis , 1997, Neural Computation.
[4] C. Fyfe,et al. Generalised independent component analysis through unsupervised learning with emergent Bussgang properties , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[5] E. Oja. The Nonlinear PCA Learning Rule and Signal Separation - Mathematical Analysis , 1995 .
[6] Juha Karhunen,et al. Neural approaches to independent component analysis and source separation , 1996, ESANN.
[7] Juha Karhunen,et al. Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA , 1997, Int. J. Neural Syst..
[8] Erkki Oja,et al. Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings , 1997, NIPS.
[9] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[10] Christopher M. Bishop,et al. GTM: The Generative Topographic Mapping , 1998, Neural Computation.
[11] Juha Karhunen,et al. Representation and separation of signals using nonlinear PCA type learning , 1994, Neural Networks.
[12] Erkki Oja,et al. Applications of neural blind separation to signal and image processing , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[13] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[14] J. Cardoso. Infomax and maximum likelihood for blind source separation , 1997, IEEE Signal Processing Letters.
[15] Lei Xu,et al. Least mean square error reconstruction principle for self-organizing neural-nets , 1993, Neural Networks.
[16] Erkki Oja,et al. A class of neural networks for independent component analysis , 1997, IEEE Trans. Neural Networks.
[17] Juha Karhunen,et al. A Unified Neural Bigradient Algorithm for robust PCA and MCA , 1996, Int. J. Neural Syst..
[18] P. Pajunen,et al. Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[19] Erkki Oja,et al. The nonlinear PCA criterion in blind source separation: Relations with other approaches , 1998, Neurocomputing.
[20] Pierre Comon. Independent component analysis - a new concept? signal processing , 1994 .
[21] A. Hyvarinen. A family of fixed-point algorithms for independent component analysis , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[22] A. J. Bell,et al. A Unifying Information-Theoretic Framework for Independent Component Analysis , 2000 .
[23] Andrzej Cichocki,et al. Robust neural networks with on-line learning for blind identification and blind separation of sources , 1996 .
[24] Erkki Oja,et al. Neural Independent Component Analysis - Approaches and Applications , 1998 .
[25] Shun-ichi Amari,et al. Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information , 1997, Neural Computation.
[26] S. Klinke,et al. Exploratory Projection Pursuit , 1995 .
[27] Erkki Oja,et al. Simple Neuron Models for Independent Component Analysis , 1996, Int. J. Neural Syst..
[28] Andrzej Cichocki,et al. A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.
[29] Shun-ichi Amari,et al. Independent component analysis by the information-theoretic approach with mixture of densities , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[30] Erkki Oja,et al. The nonlinear PCA learning rule in independent component analysis , 1997, Neurocomputing.
[31] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[32] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.