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PKDD
2004
Springer

Random Matrices in Data Analysis

9 years 6 months ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certain kernel methods.
Dimitris Achlioptas
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PKDD
Authors Dimitris Achlioptas
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