Neurocomputing, Volume 49

Volume 49, Number 1-4, December 2002

• Shun-ichi Amari, Aapo Hyvärinen, Soo-Young Lee, Te-Won Lee, V. David Sánchez A.:
  Blind signal separation and independent component analysis. 1-5
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• V. David Sánchez A.:
  Frontiers of research in BSS/ICA. 7-23
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• Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe:
  Blind source separation using Renyi's -marginal entropies. 25-38
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• Carlos García Puntonet, Ali Mansour, Christoph Bauer, Elmar Wolfgang Lang:
  Separation of sources using simulated annealing and competitive learning. 39-60
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• Heinz Mathis, Marcel Joho:
  Blind signal separation in noisy environments using a three-step quantizer. 61-78
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• James V. Stone:
  Blind deconvolution using temporal predictability. 79-86
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• Sergio Cruces, Luis Castedo, Andrzej Cichocki:
  Robust blind source separation algorithms using cumulants. 87-118
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• Thomas P. von Hoff, Allen G. Lindgren:
  Adaptive step-size control in blind source separation. 119-138
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• Shotaro Akaho:
  Conditionally independent component analysis for supervised feature extraction. 139-150
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• Aapo Hyvärinen, Karthikesh Raju:
  Imposing sparsity on the mixing matrix in independent component analysis. 151-162
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• Michael Zibulevsky, Yehoshua Y. Zeevi:
  Extraction of a source from multichannel data using sparse decomposition. 163-173
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• Akio Utsugi:
  Independent components of natural images under variable compression rate. 175-185
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• Sabine Deligne, Ramesh A. Gopinath:
  An EM algorithm for convolutive independent component analysis. 187-211
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• Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen:
  Analysis of functional neuroimages using ICA with adaptive binary sources. 213-225
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• Dawei W. Dong, J. A. Scott Kelso, Fred L. Steinberg:
  Spatio-temporal decorrelated activity patterns in functional MRI data during real and imagined motor tasks. 227-239
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• Elia Formisano, Fabrizio Esposito, Nikolaus Kriegeskorte, Gioacchino Tedeschi, Francesco Di Salle, Rainer Goebel:
  Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components. 241-254
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• Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda:
  Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization. 255-277
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• Allan Kardec Barros:
  Extracting the fetal heart rate variability using a frequency tracking algorithm. 279-288
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• Susumu Takahashi, Yoshio Sakurai, Minoru Tsukada, Yuichiro Anzai:
  Classification of neuronal activities from tetrode recordings using independent component analysis. 289-298
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• Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier:
  Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. 299-314
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• Un-Min Bae, Hyung-Min Park, Soo-Young Lee:
  Top-down attention to complement independent component analysis for blind signal separa. 315-327
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• Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
  Learning statistically efficient features for speaker recognition. 329-348
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• Alexander Ypma, Amir Leshem, Robert P. W. Duin:
  Blind separation of rotating machine sources: bilinear forms and convolutive mixtures. 349-368
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• Yannick Deville, Jacques Damour, Nabil Charkani:
  Multi-tag radio-frequency identification systems based on new blind source separation neural networks. 369-388
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• Juan José Murillo-Fuentes, Francisco J. González-Serrano:
  Median equivariant adaptive separation via independence: application to communications. 389-409
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• Chunguang Li, Xiaofeng Liao, Juebang Yu:
  Tabu learning method for multiuser detection in CDMA systems. 411-415
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• Sang-Jae Park, Kwang-Hwan An, Minho Lee:
  Saliency map model with adaptive masking based on independent component analysis. 417-422
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• Tohru Nitta:
  Redundancy of the parameters of the complex-valued neural network. 423-428
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• Ralf Möller:
  Interlocking of learning and orthonormalization in RRLSA. 429-433
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• Yogesh Singh, C. S. Rai:
  Blind source separation: a unified approach. 435-438
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• Jagath C. Rajapakse:
  Adaptive blind signal and image processing: learning algorithms and applications: A. Cichocki, S. Amari, Wiley, New York, 2002, 586pp., ISBN 0471 60791 6. 439-443
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