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| Andrzej Cichocki, Yoshikazu Washizawa, Tomasz Rutkowski, Hovagim Bakardjian, Anh-Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li, "Noninvasive BCIs: Multiway Signal-Processing Array Decompositions," Computer, vol. 41, no. 10, pp. 34-42, October, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/MC.2008.431, author = {Andrzej Cichocki and Yoshikazu Washizawa and Tomasz Rutkowski and Hovagim Bakardjian and Anh-Huy Phan and Seungjin Choi and Hyekyoung Lee and Qibin Zhao and Liqing Zhang and Yuanqing Li}, title = {Noninvasive BCIs: Multiway Signal-Processing Array Decompositions}, journal ={Computer}, volume = {41}, number = {10}, issn = {0018-9162}, year = {2008}, pages = {34-42}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2008.431}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computer TI - Noninvasive BCIs: Multiway Signal-Processing Array Decompositions IS - 10 SN - 0018-9162 SP34 EP42 EPD - 34-42 A1 - Andrzej Cichocki, A1 - Yoshikazu Washizawa, A1 - Tomasz Rutkowski, A1 - Hovagim Bakardjian, A1 - Anh-Huy Phan, A1 - Seungjin Choi, A1 - Hyekyoung Lee, A1 - Qibin Zhao, A1 - Liqing Zhang, A1 - Yuanqing Li, PY - 2008 KW - brain-computer interfaces KW - neuroscience paradigms KW - Tucker model KW - PARAFAC model VL - 41 JA - Computer ER - | |||
1. F. Babiloni, A. Cichocki, and S. Gao, eds., special issue, "Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications," Computational Intelligence and Neuroscience, 2007; www.hindawi.com/GetArticle.aspx?doi=10.1155/ 200762637.
2. P. Sajda, K-R. Mueller, and K.V. Shenoy, eds., special issue, "Brain Computer Interfaces," IEEE Signal Processing Magazine, Jan. 2008.
3. J. Wolpaw et al., "Brain-Computer Interfaces for Communication and Control," Clinical Neurophysiology, vol. 113, no. 6, 2002, pp. 767–791.
4. B. Blankertz et al., "Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing," Proc. Neural Information Processing Systems Conf. (NIPS 07), MIT Press, vol. 20, 2007, pp. 1–8.
5. K-R. Mueller et al., "Machine Learning and Applications for Brain-Computer Interfacing," Human Interface, Part I, M.J. Smith and G. Salvendy, eds., LNCS 4557, Springer, 2007, pp. 705–714.
6. G. Pfurtscheller et al., "15 Years of BCI Research at Graz University of Technology: Current Projects," IEEE Trans. Neural Systems and Rehabilitation Eng., vol. 14, no. 2, 2006, pp. 205–210.
7. P.R. Kennedy et al., "Direct Control of a Computer from the Human Central Nervous System," IEEE Trans. Rehabilitation Eng., vol. 8, no. 2, 2000, pp. 198–202.
8. J. Kronegg, "Goals, Problems and Solutions in Brain-Computer Interfaces: A Tutorial," 2005; www.bci-info.tugraz.at.
9. F. Lotte et al., "A Review of Classification Algorithms for EEG-Based Brain-Computer Interfaces," J. Neural Eng., vol. 4, 2007, pp. R1–R13.
10. H. Lee, A. Cichocki, and S. Choi, "Nonnegative Matrix Factorization for Motor Imagery EEG Classification," LNCS 4132, Springer, 2006, pp. 250–259.
11. H. Lee et al., "Nonnegative Tensor Factorization for Continuous EEG Classification," Int'l J. Neural Systems, vol. 17, no. 4, 2007, pp. 1–13.
12. M. Cheng et al., "Design and Implementation of a Brain-Computer Interface with High Transfer Rates," IEEE Trans. Biomedical Eng., vol. 49, no. 10, pp. 1181–1186.
13. P. Martinez, H. Bakardjian, and A. Cichocki, "Fully Online, Multi-Command Brain Computer Interface with Visual Neurofeedback Using SSVEP Paradigm," J. Computational Intelligence and Neuroscience; www.hindawi.com/getarticle.aspx?doi=10.1155/ 200794561.
14. T.M. Rutkowski et al., "Auditory Feedback for Brain-Computer Interface Management—An EEG Data Sonification Approach," LNAI 4253, Springer, 2006, pp. 1232–1239.
15. Y. Li, A. Cichocki, and S. Amari, "Blind Estimation of Channel Parameters and Source Components for EEG Signals: A Sparse Factorization Approach," IEEE Trans. Neural Networks, vol. 17, 2006, pp. 419–431.
16. A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications, John Wiley &Sons, 2003.
17. A. Cichocki et al., "Novel Multi-Layer Nonnegative Tensor Factorization with Sparsity Constraints," LNCS 4432, Springer, 2007, pp. 271–280.
18. A. Cichocki, A.H. Phan, and C. Caiafa, "Flexible HALS Algorithms for Sparse Non-Negative Matrix/Tensor Factorization," Machine Learning for Signal Processing, to be published in 2008.
19. A.H. Phan and A. Cichocki, Fast and Efficient Algorithm for Nonnegative Tucker Decomposition, LNCS 5264, Springer, 2008, pp. 772–782.
20. Y.D. Kim, A. Cichocki, and S. Choi, "Nonnegative Tucker Decomposition with Alpha-Divergence," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP 08), IEEE Press, pp. 1829–1832.
21. M. Mørup, L.K. Hansen, and S.M. Arnfred, "Algorithms for Sparse Non-Negative Tucker Decomposition," Neural Computation, vol. 20, no. 8, pp. 2112–2131.
22. E. Acar et al., "Multiway Analysis of Epilepsy Tensors," Bioinformatics, vol. 23, no. 13, 2007, pp. i10–i18.
23. T.G. Kolda and B.W. Bader, "Tensor Decompositions and Applications," SIAM Rev., to be published in 2008.
24. J. Sun, "Incremental Pattern Discovery on Streams, Graphs and Tensors," PhD thesis, CMU-CS-07-149, 2007.
25. J. Sun, D. Tao, and C. Faloutsos, "Beyond Streams and Graphs: Dynamic Tensor Analysis," Proc. 12th ACM Int'l Conf. Knowledge Discovery and Data Mining (SIGKDD 06), ACM Press, 2006, pp. 374–383.
26. A. Cichocki et al., Nonnegative Matrix and Tensor Factorizations and Beyond, John Wiley &Sons, to be published in 2009.

