Subspace, Latent Structure and Feature Selection 1

Data & IT

Subspace, Latent Structure and Feature Selection

Craig Saunders • Marko Grobelnik • Steve Gunn • John Shawe-Taylor

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209 sidor
2006

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.

Författare: Craig Saunders, Marko Grobelnik, Steve Gunn, John Shawe-Taylor
Format: Pocket/Paperback
ISBN: 9783540341376
Språk: Engelska
Antal sidor: 209
Utgivningsdatum: 2006-05-01
Förlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K