Mathematics in Independent Component Analysis

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290 Chapter 20. Signal Processing 86(3):603-623, 2006 [36] D. Lee, H. Seung, Algorithms for non-negative matrix factorization, in: Advances in Neural Information Processing (Proc. NIPS 2000), Vol. 13, MIT Press, 2000, pp. 556–562. [37] F. Theis, P. Georgiev, A. Cichocki, Robust overcomplete matrix recovery for sparse sources using a generalized hough transform, in: Proc. ESANN 2004, d-side, Evere, Belgium, Bruges, Belgium, 2004, pp. 343–348. [38] P. Bradley, O. Mangasarian, k-plane clustering, Journal of Global Optimization 16 (1) (2000) 23–32. [39] C. D. Luca, Physiology and mathematics of myoelectric signals, IEEE Transactions on Biomedical Engineering 26 (6) (1979) 313–325. [40] C. D. Luca, R. LeFever, M. McCue, A. Xenakis, Control scheme governing concurrently active human motor units during voluntary contractions, Journal of Physiology 329 (1982) 129–142. [41] S. Amari, A. Cichocki, H. Yang, A new learning algorithm for blind signal separation, Advances in Neural Information Processing Systems 8 (1996) 757– 763. [42] D. Xu, J. Principe, J. F. III, H.-C. Wu, A novel measure for independent component analysis (ICA), in: Proc. ICASSP 1998, Vol. 2, Seattle, 1998, pp. 1161–1164. [43] D. Tjøstheim, Measures of dependence and tests of independence, Statistics 28 (1996) 249–282. [44] R. Duda, P. Hart, D. Stork, Pattern classification, 2nd Edition, Wiley, New York, 2001. [45] F. Theis, S. Amari, Postnonlinear overcomplete blind source separation using sparse sources, in: Proc. ICA 2004, Vol. 3195 of Lecture Notes in Computer Science, Granada, Spain, 2004, pp. 718–725. [46] P. Zhou, Z. Erim, W. Rymer, Motor unit action potential counts in surface electrode array EMG, in: Proc. IEEE EMBS 2003, Cancun, Mexico, 2003, pp. 2067–2070. [47] B. Freriks, H. Hermens, European Recommendations for surface electromyography, results of the SENIAM project, Roessingh Research and Development b.v. (CD-ROM), 1999. 29
Chapter 21 Proc. BIOMED 2005, pages 209-212 Paper F.J. Theis, Z. Kohl, H.G. Kuhn, H.G. Stockmeier, and E.W. Lang. Automated counting of labelled cells in rodent brain section images. In Proc. BioMED 2004, pages 209-212, Innsbruck, Austria, 2004. ACTA Press, Canada Reference (Theis et al., 2004c) Summary in section 1.6.2 291
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Statistical machine learning of bio
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to Jakob
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vi Preface
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viii CONTENTS 3 Signal Processing 8
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Chapter 1 Statistical machine learn
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1.1. Introduction 5 auditory cortex
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1.2. Uniqueness issues in independe
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1.2. Uniqueness issues in independe
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S U M M A R Y T his �le contains
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1.3. Dependent component analysis 1
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Table 1.1: BSS algorithms based on
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1.4. Sparseness 25 1.4 Sparseness O
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1.4. Sparseness 29 R 3 R 3 A BSRA R
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Page 306 and 307: 298 BIBLIOGRAPHY Barber, C., Dobkin
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Page 314 and 315: 306 BIBLIOGRAPHY Theis, F. and Inou
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Mathematics in Independent Component Analysis

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