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» Non-linear ICA by Using Isometric Dimensionality Reduction
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ICA
2004
Springer
14 years 1 months ago
Non-linear ICA by Using Isometric Dimensionality Reduction
In usual ICA methods, sources are typically estimated by maximizing a measure of their statistical independence. This paper explains how to perform non-linear ICA by preprocessing ...
John Aldo Lee, Christian Jutten, Michel Verleysen
CVPR
2009
IEEE
15 years 2 months ago
Rank Priors for Continuous Non-Linear Dimensionality Reduction
Non-linear dimensionality reductionmethods are powerful techniques to deal with high-dimensional datasets. However, they often are susceptible to local minima and perform poorly ...
Andreas Geiger (Karlsruhe Institute of Technology)...
NIPS
1992
13 years 8 months ago
Non-Linear Dimensionality Reduction
A method for creating a non
David DeMers, Garrison W. Cottrell
ICML
2007
IEEE
14 years 8 months ago
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker
AAAI
2007
13 years 10 months ago
Isometric Projection
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
Deng Cai, Xiaofei He, Jiawei Han