On the equivalence of Kernel Fisher discriminant analysis and Kernel Quadratic Programming Feature Selection
This is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Change...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2011 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/667689 |
| Acceso en línea: | http://hdl.handle.net/10486/667689 https://dx.doi.org/10.1016/j.patrec.2011.04.007 |
| Access Level: | acceso abierto |
| Palabra clave: | Feature selection Kernel Fisher discriminant Kernel methods Quadratic Programming Feature Selection Informática |
| Sumario: | This is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition Letters, Vol. 32, Iss. 11, (2011) DOI: 10.1016/j.patrec.2011.04.007 |
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