349 search results - page 9 / 70 » Information Preserving Dimensionality Reduction |
145
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SDM
2007
SIAM
15 years 4 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
15 years 7 months ago
2000
Springer
126
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ICML
2007
IEEE
16 years 4 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...
137
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TNN
2008
15 years 3 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...
147
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ICASSP
2011
IEEE
14 years 7 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...