396 search results - page 45 / 80 » Lossy Reduction for Very High Dimensional Data |
107
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SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
JMLR
2006
14 years 11 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
181
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ICDE
2008
IEEE
16 years 1 months ago
2008
IEEE
Despite the surge of interest in data reduction techniques over the past years, no method has been proposed to date that can always achieve approximation quality preferable to that...
105
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GRC
2010
IEEE
15 years 27 days ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
102
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CVPR
2010
IEEE
14 years 10 months ago
2010
IEEE
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...