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Dimensionality reduction by minimizing nearest-neighbor classification error

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Dimensionality reduction by minimizing nearest-neighbor classification error

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Villegas, M.; Paredes Palacios, R. (2011). Dimensionality reduction by minimizing nearest-neighbor classification error. Pattern Recognition Letters. 32(4):633-639. doi:10.1016/j.patrec.2010.12.002

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37325

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Title: Dimensionality reduction by minimizing nearest-neighbor classification error
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
There is a great interest in dimensionality reduction techniques for tackling the problem of high-dimensional pattern classification. This paper addresses the topic of supervised learning of a linear dimension reduction ...[+]
Subjects: Dimensionality reduction , Nearest-neighbor classifier , Pattern recognition , Class boundary , Classification errors , Computationally efficient , Dimensionality reduction techniques , Error probabilities , High-dimensional , Linear dimension reduction , Linear projections , Nearest Neighbor classifier , Nearest neighbor classifiers , Nearest-neighbors , Optimization procedures , Pattern classification , Recognition accuracy , Optimization , Probability , Classifiers
Copyrigths: Reserva de todos los derechos
Source:
Pattern Recognition Letters. (issn: 0167-8655 )
DOI: 10.1016/j.patrec.2010.12.002
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.patrec.2010.12.002
Thanks:
Work partially supported by the Spanish projects TIN2008-04571 and Consolider Ingenio 2010: MIPRCV (CSD2007-00018).
Type: Artículo

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