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



2. J. B. Tenenbaum, V. de Silva, and J. C. Langford. A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science, 290:2319-2323, 2000.
   Keywords: geometry, dimension reduction. [Abstract] [bibtex-entry]

1. John Aldo Lee, Amaury Lendasse, Nicolas Donckers, and Michel Verleysen. A robust nonlinear projection method. In European Symposium on Artificial Neural Networks, pages 13-20, 2000.
   Keywords: ingeneering, dimension reduction. [Abstract] [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]

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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