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Titolo: |
Subspace, Latent Structure and Feature Selection [[electronic resource] ] : Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers / / edited by Craig Saunders, Marko Grobelnik, Steve Gunn, John Shawe-Taylor
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Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Edizione: | 1st ed. 2006. |
Descrizione fisica: | 1 online resource (X, 209 p.) |
Disciplina: | 003/.1 |
Soggetto topico: | Algorithms |
Computer science—Mathematics | |
Mathematical statistics | |
Computer science | |
Artificial intelligence | |
Computer vision | |
Pattern recognition systems | |
Probability and Statistics in Computer Science | |
Theory of Computation | |
Artificial Intelligence | |
Computer Vision | |
Automated Pattern Recognition | |
Persona (resp. second.): | SaundersCraig |
GrobelnikMarko | |
GunnSteve | |
Shawe-TaylorJohn | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di bibliografia: | Includes bibliographical references and author index. |
Nota di contenuto: | 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. |
Titolo autorizzato: | Subspace, Latent Structure and Feature Selection ![]() |
ISBN: | 3-540-34138-2 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996465879603316 |
Lo trovi qui: | Univ. di Salerno |
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