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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
- Author / Creator
- Conferences
- SLSFS 2005 (2005 : Bohinj, Slovenia)
- Available as
- Online
Details
- Creator
- edited by Craig Saunders, Marko Grobelnik, Steve Gunn, John Shawe-Taylor
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- 1st ed. 2006
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006
- Physical Details
-
- 1 online resource (X, 209 p.)
- ISBNs
- 9783540341383, 3540341382, 9783540341376, 3540341374
- OCLC
- ocm70155116
- Bibliographic Level Mode of Issuance: Monograph
- Includes bibliographical references and author index.
- English
- 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