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- 1
-
J.-F. Cardoso.
Multidimensional independent component analysis.
In Proceedings of ICASSP'98, Seattle, 1998.
- 2
-
G. E. Hinton and D. van Camp.
Keeping neural networks simple by minimizing the description length
of the weights.
In Proceedings of the COLT'93, pp. 5-13, Santa Cruz,
California, USA, July 26-28, 1993.
- 3
-
G. E. Hinton and R. S. Zemel.
Autoencoders, minimum description length and Helmholtz free energy.
In J. et al, ed., Neural Information Processing Systems 6,
San Mateo, CA, 1994. Morgan Kaufmann.
- 4
-
A. Hyvärinen and P. Hoyer.
Emergence of phase and shift invariant features by decomposition of
natural images into independent feature subspaces.
Neural Computation, 12(7):1705-1720, 2000.
- 5
-
H. Lappalainen and J. W. Miskin.
Ensemble learning.
In M. Girolami, ed., Advances in Independent Component
Analysis, pp. 76-92. Springer-Verlag, Berlin, 2000.
- 6
-
E. Oja, J. Laaksonen, M. Koskela, and S. Brandt.
Self-organizing maps for content-based image database retrieval.
In E. Oja and S. Kaski, eds., Kohonen Maps, pp. 349-362.
Elsevier, 1999.
- 7
-
R. S. Zemel.
A Minimum Description Length Framework for Unsupervised
Learning.
PhD thesis, University of Toronto, 1993.
Krista Lagus
2001-08-28