Subspace Latent Structure And Feature Selection
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Subspace, Latent Structure and Feature Selection
Author | : Craig Saunders |
Publisher | : Springer |
Total Pages | : 218 |
Release | : 2006-05-24 |
Genre | : Computers |
ISBN | : 3540341382 |
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This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.
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