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Subspace, Latent Structure and Feature Selection
Craig Saunders
€ 65.53
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Description for Subspace, Latent Structure and Feature Selection
Paperback. Constitutes the 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. Series: Lecture Notes in Computer Science. Num Pages: 219 pages, biography. BIC Classification: UFM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 321.
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.
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.
Product Details
Format
Paperback
Publication date
2006
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
219
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
209
Place of Publication
Berlin, Germany
ISBN
9783540341376
SKU
V9783540341376
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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