1. Shun-Ichi. Amari and H. Nagaoka. Methods of Information Geometry. Oxford University Press, 1993.
   Keywords: mathematics, geometry, statistics. [bibtex-entry]



2. Thomas M. Cover and Joy A. Thomas. Elements of Information Theory. John Wiley & sons, 1991.
   Keywords: information theory, statistics, probabilities. [bibtex-entry]



3. N. Bleistein and N. Handelsman. Asymptotic Expansions of Integrals. Dover, 1986.
   Keywords: statistics, mathematics. [bibtex-entry]

1. Peter B. Delahunt and David H. Brainard. Does human color constancy incorporate the statistical regularity of natural daylight?. Journal of Vision, 4:57-81, 2004.
   Keywords: color constancy. [Abstract] [bibtex-entry]



2. Matthias O. Franz, Javaan S. Chahl, and Holger G. Krapp. Insect-inspired estimation of egomotion. Neural Computation, 6(11), 2004.
   Keywords: perception, space, movement. [Abstract] [Comments] [bibtex-entry]



3. Donald I.A. MacLeod. Influence of Scene Statistics on Colour Constancy. Nature, 415:637--640, 2002.
   Keywords: color, perception, color constancy. [Abstract] [Comments] [bibtex-entry]



4. T. P. Minka. Automatic Choice of Dimensionality for PCA. NIPS 2000, pp 598-604, 2000.
   Keywords: PCA, statistics. [Abstract] [Comments] [bibtex-entry]



5. Shun-Ichi Amari. Natural Gradient Learning for Over- and Under-Complete Bases in ICA. Neural Computation, 1999.
   Keywords: ICA, statistics, neural networks. [Abstract] [Comments] [bibtex-entry]



6. Lawrence W. Barsalou. Perceptual symbols systems. Behavioral and brain sciences, 22:577-660, 1999.
   Keywords: objects, sensorimotor, cognition. [Abstract] [Comments] [bibtex-entry]



7. Imre Csiszar. The Method of Types. EEETIT: IEEE Transactions on Information Theory, 44(6):2505-2523, 1998.
   Keywords: mathematics, statistics, information theory. [Abstract] [Comments] [bibtex-entry]



8. Jean-François Cardoso. Infomax and maximum likelihood for source separation. IEEE Letters on Signal Processing, 4(4):112-114, 1997.
   Keywords: ICA, statistics, information theory, BSS. [Abstract] [bibtex-entry]



9. Jean-François Cardoso. Equivariant adaptive source separation. IEEE Trans. on S.P., 44(45):3017-3030, 1996.
   Keywords: ICA, statistics, BSS. [Abstract] [bibtex-entry]



10. Antony J. Bell and Terrence J. Sejnowski. An information maximisation approach to blind separation and blind deconvolution. Neural Computation, 7(6):1129-1159, 1995.
    Keywords: statistics, ICA, information theory. [Abstract] [bibtex-entry]



11. L. De Lathauwer, B. De Moor, and J. Vandewalle. Fetal Electrocardiogram Extraction by Source Subspace Separation. Proceedings IEEE SP/Athos Workshop on Higher-Order Statistics, pp 134-138, june 1995.
    Keywords: ICA, statistics, BSS. [Abstract] [Comments] [bibtex-entry]



12. J-P Nadal and N Parga. Non linear neurons in the low noise limit: a factorial code maximizes information transfer. Network, 1994.
    Keywords: ICA, statistics, neural networks, information theory. [Abstract] [Comments] [bibtex-entry]



13. J. J. Atick. Entropy minimization: A design principle for sensory perception?. International Journal of Neural Systems, (3):81-90, 1992.
    Keywords: information theory, statistics, perception. [bibtex-entry]



14. Jim P. Crutchfield. Information and its metric. Nonlinear Structures in Physical Systems - Pattern formation, Chaos and Waves, pp 119-130, 1990.
    Keywords: probabilities, information theory, geometry, statistics. [Comments] [bibtex-entry]



15. R. Linsker. Self-organization in a perceptual network. IEEE Computer, 21:105-117, 1988.
    Keywords: statistics, information theory, self-organization. [bibtex-entry]



16. E. T. Jaynes. Prior Probabilities, pages 114--130. D. Reidel Publishing Company, Boston, Massachusetts, 1983.
    Keywords: probabilities, statistics, Bayes. [bibtex-entry]

1. F. Meinecke, A. Ziehe, M. Kawanabe, and K-R Müller. Assessing Reliability of ICA Projections - a Resampling Approach. In ICA 2001, 2001.
   Keywords: ICA, statistics, BSS. [Abstract] [Comments] [bibtex-entry]



2. R. Vollgraf and K. Obermayer. Multi Dimensional ICA to Separate Correlated Sources. In , 2001.
   Keywords: ICA, statistics, BSS. [Comments] [bibtex-entry]



3. H Lappalainen and J. W. Miskin. Ensemble Learning. In , 2000.
   Keywords: Bayes, probabilities, statistics. [Abstract] [bibtex-entry]



4. N. D. Socci, D. D. Lee, and H. S. Seung. The Rectified Gaussian Distribution. In Adv. Neural Info. Proc. Syst., volume 10, 1998.
   Keywords: probabilities, statistics. [Comments] [bibtex-entry]



5. Shun-Ichi Amari, A. Cichocki, and H. H. Yang. Recurrent Neural Networks for Blind Separation of Sources. In International Symposium on Nonlinear Theory and its Application, pages 37-42, 1995.
   Keywords: ICA, statistics, neural networks. [Comments] [bibtex-entry]

1. J. J. Verbeek, N. Vlassis, and B. Kröse. Coordinating Mixtures of Probabilistic Principal Component Analyzers. Technical report, Computer Science Institute, University of Amsterdam, The Netherlands, February 2002. Note: IAS-UVA-02-01.
   Keywords: statistics, PCA. [Abstract] [bibtex-entry]



2. N. Murata. Properties of the Empirical Characteristic Function and its Application to Testing for Independence. Technical report, Waseda University, 2001.
   Keywords: ICA, statistics, BSS. [Abstract] [Comments] [bibtex-entry]

1. D. J. C. MacKay. Maximum Likelihood and Covariant Algorithms for ICA. Note: Unpublished, 1996.
   Keywords: ICA, statistics, BSS. [Abstract] [Comments] [bibtex-entry]

All the ressources below are referenced through direct links, for easier use as a library of introductory and comprehensive papers on various subjects. If a paper of yours is on this list and you do not want your homepage to be bypassed, just send me an email.

Comments and ratings are for personnal use, they do not claim to reflect academic value. It is only an indication of their relevance with respect to my own interests and the success they happened to have in the scientific community.

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