791 search results - page 20 / 159 » Non-Linear Dimensionality Reduction |
147
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
120
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RECOMB
2002
Springer
16 years 4 months ago
2002
Springer
Proteins are involved either directly or indirectly in all biological processes in living organisms. It is now widely accepted that conformational changes of proteins can critical...
118
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...
157
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JMLR
2010
15 years 2 months ago
2010
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
154
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TSP
2010
14 years 11 months ago
2010
We consider distributed estimation of a deterministic vector parameter from noisy sensor observations in a wireless sensor network (WSN). The observation noise is assumed uncorrela...