784 search results - page 15 / 157 » Diffeomorphic Dimensionality Reduction |
135
click to vote
COMSIS
2010
15 years 1 months ago
2010
Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
139
click to vote
ICA
2004
Springer
15 years 9 months ago
2004
Springer
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 ...
138
Voted
ESANN
2008
15 years 5 months ago
2008
Abstract. Nonlinear dimensionality reduction aims at providing lowdimensional representions of high-dimensional data sets. Many new methods have been proposed in the recent years, ...
156
click to vote
PAMI
2008
15 years 3 months ago
2008
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
162
click to vote
RSS
2007
15 years 5 months ago
2007
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...