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Subspace Latent Structure Feature (15 results)
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Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, ... (Lecture Notes in Computer Science, 3940)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 50.43
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 224.
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Subspace, Latent Structure And Feature Selection : Statistical And Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005 Revised Selected Papers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Taschenbuch. Condition: Neu. Subspace, Latent Structure and Feature Selection | Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers | Craig Saunders (u. a.) | Taschenbuch | x | Englisch | 2006 | Springer | EAN 9783540341376 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Subspace, Latent Structure And Feature Selection : Statistical And Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005 Revised Selected Papers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Condition: New. Print on Demand pp. 224 Illus.
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Subspace, Latent Structure and Feature Selection
Language: English
Published by Springer Berlin Heidelberg Mai 2006, 2006
ISBN 10: 3540341374 ISBN 13: 9783540341376
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 224 pp. Englisch.
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Condition: New. PRINT ON DEMAND pp. 224.
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Subspace, Latent Structure and Feature Selection
Language: English
Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540341374 ISBN 13: 9783540341376
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Refereed post-proceedings of the PASCAL Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005Presents 9 revised full papers together with 5 invited paperskey approaches.
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Subspace, Latent Structure and Feature Selection
Language: English
Published by Springer, Springer Mai 2006, 2006
ISBN 10: 3540341374 ISBN 13: 9783540341376
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Invited Contributions.- Discrete Component Analysis.- Overview and Recent Advances in Partial Least Squares.- Random Projection, Margins, Kernels, and Feature-Selection.- Some Aspects of Latent Structure Analysis.- Feature Selection for Dimensionality Reduction.- Contributed Papers.- Auxiliary Variational Information Maximization for Dimensionality Reduction.- Constructing Visual Models with a Latent Space Approach.- Is Feature Selection Still Necessary .- Class-Specific Subspace Discriminant Analysis for High-Dimensional Data.- Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery.- A Simple Feature Extraction for High Dimensional Image Representations.- Identifying Feature Relevance Using a Random Forest.- Generalization Bounds for Subspace Selection and Hyperbolic PCA.- Less Biased Measurement of Feature Selection Benefits.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
