dimred references

[Tenenbaum2000global] J. B. Tenenbaum, V. de Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-23, Dec 2000. [ bib | DOI | http | .pdf | Abstract ]
[Roweis2000Nonlinear] S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-6, Dec 2000. [ bib | DOI | http | .pdf | Abstract ]
[Balasubramanian2002isomap] M. Balasubramanian and E. L. Schwartz. The isomap algorithm and topological stability. Science, 295(5552):7, Jan 2002. [ bib | DOI | http | .pdf ]
[Saul2003Think] L. K. Saul and S. T. Roweis. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds. J. Mach. Learn. Res., 4:119-155, 2003. [ bib | .html | www: | Abstract ]
[Donoho2003Hessian] D. L. Donoho and C. Grimes. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data. Proc. Natl. Acad. Sci. USA, 100(10):5591-5596, 2003. [ bib | DOI | http | www: ]
[Belkin2003Laplacian] M. Belkin and P. Niyogi. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Comput., 15(6):1373-1396, 2003. [ bib | http | www: | Abstract ]
[Weinberger2004Learning] K. Q. Weinberger, F. Sha, and L. K. Saul. Learning a kernel matrix for nonlinear dimensionality reduction. In ICML '04: Twenty-first international conference on Machine learning, New York, NY, USA, 2004. ACM Press. [ bib | DOI | www: | Abstract ]
[Weinberger2004Unsupervised] K. Q. Weinberger and L. K. Saul. Unsupervised Learning of Image Manifolds by Semidefinite Programming. In 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04), volume 2, pages 988-995, 2004. [ bib | DOI | www: | Abstract ]
[Nilsson2004Approximate] J. Nilsson, T. Fioretos, M. Höglund, and M. Fontes. Approximate geodesic distances reveal biologically relevant structures in microarray data. Bioinformatics, 20(6):874-80, Apr 2004. [ bib | DOI | http | .pdf | Abstract ]
[LHeureux2004Locally] P. J. L'Heureux, J. Carreau, Y. Bengio, O. Delalleau, and S. Y. Yue. Locally linear embedding for dimensionality reduction in QSAR. J. Comput. Aided Mol. Des., 18(7-9):475-82, 2004. [ bib | DOI | http | .pdf | Abstract ]
[Bengio2004Learning] Y. Bengio, O. Delalleau, N. Le Roux, J.-F. Paiement, P. Vincent, and M. Ouimet. Learning eigenfunctions links spectral embedding and kernel PCA. Neural Comput., 16(10):2197-219, Oct 2004. [ bib | DOI | http | .pdf | Abstract ]
[Weinberger2005Nonlinear] K. Weinberger, B. Packer, and L. Saul. Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization. In R. G. Cowell and Z. Ghahramani, editors, Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, Jan 6-8, 2005, Savannah Hotel, Barbados, pages 381-388. Society for Artificial Intelligence and Statistics, 2005. [ bib | www: | Abstract ]

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