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