396 search results - page 37 / 80 » Lossy Reduction for Very High Dimensional Data |
141
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FOCS
2000
IEEE
15 years 4 months ago
2000
IEEE
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
110
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AAAI
2012
13 years 2 months ago
2012
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...
105
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NIPS
1997
15 years 1 months ago
1997
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
117
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SSDBM
2009
IEEE
15 years 6 months ago
2009
IEEE
High-dimensional indexing has been very popularly used for performing similarity search over various data types such as multimedia (audio/image/video) databases, document collectio...
115
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PR
2008
14 years 11 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...