2826 search results - page 138 / 566 » Maximal Vector Computation in Large Data Sets |
126
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CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
156
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VIS
2004
IEEE
16 years 5 months ago
2004
IEEE
Many large scale physics-based simulations which take place on PC clusters or supercomputers produce huge amounts of data including vector fields. While these vector data such as ...
143
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NIPS
1998
15 years 5 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
166
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WEBI
2010
Springer
15 years 2 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...
173
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BMCBI
2011
14 years 8 months ago
2011
Background: Orthology analysis is an important part of data analysis in many areas of bioinformatics such as comparative genomics and molecular phylogenetics. The ever-increasing ...