349 search results - page 9 / 70 » Information Preserving Dimensionality Reduction |
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
CIKM
2000
Springer
14 years 2 months ago
2000
Springer
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
TNN
2008
13 years 9 months ago
2008
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...