1224 search results - page 18 / 245 » On the Optimality of the Dimensionality Reduction Method |
102
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ICDM
2002
IEEE
15 years 4 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
111
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ICCS
2007
Springer
15 years 5 months ago
2007
Springer
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Dimensionality reduction (DR) is a major issue to improve the efficiency of the classifiers in Hyperspectral images (HSI). Recently, the independent component analysis (ICA) app...
105
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DMDW
2000
15 years 1 months ago
2000
A data warehouse is designed to consolidate and maintain all attributes that are relevant for the analysis processes. Due to the rapid increase in the size of the modern operation...
IDEAL
2004
Springer
15 years 5 months ago
2004
Springer
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...