Subspace, Latent Structure and Feature Selection

Subspace, Latent Structure and Feature Selection
Author :
Publisher : Springer
Total Pages : 218
Release :
ISBN-10 : 9783540341383
ISBN-13 : 3540341382
Rating : 4/5 (382 Downloads)

Book Synopsis Subspace, Latent Structure and Feature Selection by : Craig Saunders

Download or read book Subspace, Latent Structure and Feature Selection written by Craig Saunders and published by Springer. This book was released on 2006-05-24 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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