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N-way modeling for wavelet filter determination in Multivariate Image Analysis

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N-way modeling for wavelet filter determination in Multivariate Image Analysis

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Prats-Montalbán, JM.; Cocchi, M.; Ferrer Riquelme, AJ. (2015). N-way modeling for wavelet filter determination in Multivariate Image Analysis. Journal of Chemometrics. 29:379-388. doi:10.1002/cem.2717

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64793

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Title: N-way modeling for wavelet filter determination in Multivariate Image Analysis
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[EN] When trying to analyze spatial relationships in image analysis, wavelets appear as one of the state-of-the-art tools. However, image analysis is a problem-dependent issue, and different applications might require ...[+]
Subjects: Wavelets , Tucker3 , Multivariate Image Analysis
Copyrigths: Reserva de todos los derechos
Source:
Journal of Chemometrics. (issn: 0886-9383 ) (eissn: 1099-128X )
DOI: 10.1002/cem.2717
Publisher:
Wiley
Publisher version: https://dx.doi.org/10.1002/cem.2717
Description: Additional information may be found in the online version of this article at the publisher’s web site
Thanks:
This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2011-28112-C04-02.
Type: Artículo

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