785 search results - page 72 / 157 » Semi-Supervised Dimensionality Reduction |
165
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AMC
2011
14 years 7 months ago
2011
：In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
141
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the p-norm of the parameters. We discuss several implications ...
170
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PAMI
2012
13 years 6 months ago
2012
— This paper addresses the problem of large-scale image search. Three constraints have to be taken into account: search accuracy, efficiency, and memory usage. We first present...
142
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BMCBI
2008
15 years 3 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...
125
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...