1825 search results - page 67 / 365 » Local Dimensionality Reduction |
ESM
2000
14 years 11 months ago
2000
Blocking probabilities in Wavelength Division Multiplex optical networks are hard to compute for realistic sized systems, even though analytical formulas for the distribution exis...
CDC
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
70
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VC
2010
14 years 8 months ago
2010
In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using non-linear dimension reduction techniques to map higher dimensional ...
CIDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...