65 search results - page 5 / 13 » A Theoretical Comparison of Two Linear Dimensionality Reduct... |
138
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SIGMOD
2001
ACM
16 years 1 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
142
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WEBI
2010
Springer
14 years 11 months ago
2010
Springer
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
130
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CVPR
2007
IEEE
16 years 3 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...
102
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ECCV
2010
Springer
15 years 7 months ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
140
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JMLR
2010
14 years 8 months ago
2010
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...