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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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.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Theoretical Computer Science and General Issues, 3940 |
Release date | May 2006 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2006 |
Editors | Craig Saunders, Marko Grobelnik, Steve Gunn, John Shawe-Taylor |
Dimensions | 235 x 155 x 12mm (L x W x T) |
Format | Paperback |
Pages | 209 |
Edition | 2006 ed. |
ISBN-13 | 978-3-540-34137-6 |
Barcode | 9783540341376 |
Categories | |
LSN | 3-540-34137-4 |