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Mathematics in Independent Component Analysis

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302 BIBLIOGRAPHY<br />

Keck, I., Theis, F., Gruber, P., Lang, E., Specht, K., F<strong>in</strong>k, G., Tomé, A., and Puntonet, C.<br />

(2005). Automated cluster<strong>in</strong>g of ICA results for fMRI data analysis. In Proc. CIMED 2005,<br />

pages 211–216, Lisbon, Portugal.<br />

Keck, I., Theis, F., Gruber, P., Lang, E., Specht, K., and Puntonet, C. (2004). 3D spatial<br />

analysis of fMRI data on a word perception task. In Proc. ICA 2004, volume 3195 of LNCS,<br />

pages 977–984, Granada, Spa<strong>in</strong>. Spr<strong>in</strong>ger.<br />

Kruskal, J. (1969). Statistical Computation, chapter Toward a practical method which helps<br />

uncover the structure of a set of observations by f<strong>in</strong>d<strong>in</strong>g the l<strong>in</strong>e tranformation which optimizes<br />

a new <strong>in</strong>dex of condensation, pages 427–440. Academic Press, New York.<br />

Lee, D. and Seung, H. (1999). Learn<strong>in</strong>g the parts of objects by non-negative matrix factorization.<br />

Nature, 40:788–791.<br />

Lee, T., Lewicki, M., Girolami, M., and Sejnowski, T. (1999). Bl<strong>in</strong>d source separation of more<br />

sources than mixtures us<strong>in</strong>g overcomplete representations. IEEE Signal Process<strong>in</strong>g Letters,<br />

6(4):87–90.<br />

Leshem, A. (1999). Source separation us<strong>in</strong>g bil<strong>in</strong>ear forms. In Proc. of the 8th Int. Conference<br />

on Higher-Order Statistical Signal Process<strong>in</strong>g.<br />

Liavas, A. P. and Regalia, P. A. (2001). On the behavior of <strong>in</strong>formation theoretic criteria for<br />

model order selection. IEEE Transactions on Signal Process<strong>in</strong>g, 49:1689–1695.<br />

L<strong>in</strong>, J. (1998). Factoriz<strong>in</strong>g multivariate function classes. In Advances <strong>in</strong> Neural Information<br />

Process<strong>in</strong>g Systems, volume 10, pages 563–569.<br />

Lutter, D., Stadlthanner, K., Theis, F., Lang, E. W., Tomé, A., Becker, B., and Vogt, T. (2006).<br />

Analyz<strong>in</strong>g gene expression profiles with ICA. In Proc. BioMED 2006, Innsbruck, Austria.<br />

Ma, C. T., D<strong>in</strong>g, Z., and Yau, S. F. (2000). A two-stage algorithm for MIMO bl<strong>in</strong>d deconvolution<br />

of nonstationary colored noise. IEEE Transactions on Signal Process<strong>in</strong>g, 48:1187–1192.<br />

MacKay, D. (2003). Information Theory, Inference, and Learn<strong>in</strong>g Algorithms. Cambridge University<br />

Press, 6.9 edition.<br />

McKeown, M., Jung, T., Makeig, S., Brown, G., K<strong>in</strong>dermann, S., Bell, A., and Sejnowski,<br />

T. (1998). <strong>Analysis</strong> of fMRI data by bl<strong>in</strong>d separation <strong>in</strong>to <strong>in</strong>dependent spatial components.<br />

Human Bra<strong>in</strong> Mapp<strong>in</strong>g, 6:160–188.<br />

Meyer-Baese, A., Gruber, P., Theis, F., and Foo, S. (2006). Bl<strong>in</strong>d source separation based on<br />

self-organiz<strong>in</strong>g neural network. Eng<strong>in</strong>eer<strong>in</strong>g Applications of Artificial Intelligence, 19:305–311.<br />

Meyer-Bäse, A., Gruber, P., Theis, F., Wismüller, A., and Ritter, H. (2005). Application of<br />

unsupervised cluster<strong>in</strong>g methods to biomedical image analysis. In Proc. WSOM 2005, pages<br />

621–628, Paris, France.

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