Mathematics in Independent Component Analysis

BIBLIOGRAPHY 301
Hosseini, S. and Deville, Y. (2003). Blind separation of linear-quadratic mixtures of real sources
using a recurrent structure. Lecture Notes in Computer Science, 2687:241–248.
Hoyer, P. (2004). Non-negative matrix factorization with sparseness constraints. Journal of
Machine Learning Research, 5:1457–1469.
Huber, P. (1985). Projection pursuit. Annals of Statistics, 13(2):435–475.
Hyvärinen, A. (1999). Fast and robust fixed-point algorithms for independent component analysis.
IEEE Transactions on Neural Networks, 10(3):626–634.
Hyvärinen, A. and Hoyer, P. (2000). Emergence of phase and shift invariant features by decomposition
of natural images into independent feature subspaces. Neural Computation,
12(7):1705–1720.
Hyvärinen, A., Hoyer, P., and Inki, M. (2001a). Topographic independent component analysis.
Neural Computation, 13(7):1525–1558.
Hyvärinen, A., Hoyer, P., and Oja, E. (2001b). Intelligent Signal Processing. IEEE Press.
Hyvärinen, A., Karhunen, J., and Oja, E. (2001c). Independent component analysis. John Wiley
& Sons.
Hyvärinen, A. and Oja, E. (1997). A fast fixed-point algorithm for independent component
analysis. Neural Computation, 9:1483–1492.
Hyvärinen, A. and Pajunen, P. (1998). On existence and uniqueness of solutions in nonlinear independent
component analysis. Proceedings of the 1998 IEEE International Joint Conference
on Neural Networks (IJCNN’98), 2:1350–1355.
Ilin, A. (2006). Independent dynamics subspace analysis. In Proc. ESANN 2006, pages 345–350.
Karako-Eilon, S., Yeredor, A., and Mendlovic, D. (2003). Blind source separation based on the
fractional fourier transform. In Proc. ICA 2003, pages 615–620, Nara, Japan.
Karvanen, J. and Theis, F. (2004). Spatial ICA of fMRI data in time windows. In Proc. MaxEnt
2004, volume 735 of AIP conference proceedings, pages 312–319, Garching, Germany.
Kawanabe, M. (2005). Linear dimension reduction based on the fourth-order cumulant tensor.
In Proc. ICANN 2005, volume 3697 of LNCS, pages 151–156, Warsaw, Poland. Springer.
Kawanabe, M. and Theis, F. (2007). Joint low-rank approximation for extracting non-gaussian
subspaces. Signal Processing.
Keck, I., Theis, F., Gruber, P., Lang, E., Churan, J., and Puntonet, C. (2006). Model-free region
of interest based analysis of fMRI data. In Proc. MELECON 2006, pages 478–481, Malaga,
Spain.