396 search results - page 36 / 80 » Lossy Reduction for Very High Dimensional Data |
ICML
2007
IEEE
16 years 19 days ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
126
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MAMMO
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. As mammography moves towards completely digital and produces prohibitive amounts of data, compression plays an increasingly important role. Although current lossless comp...
PREMI
2005
Springer
15 years 5 months ago
2005
Springer
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
104
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IGARSS
2010
14 years 9 months ago
2010
The aim of this paper is the three dimensional reconstruction of urban areas using Very High Resolution (VHR) images. The proposed innovative approach for the three dimensional re...
106
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BMCBI
2008
14 years 12 months ago
2008
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...