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On the applicability of the Hadamard as an input modulator for problems of classification

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On the applicability of the Hadamard as an input modulator for problems of classification

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dc.contributor.author de Curtò, J. es_ES
dc.contributor.author de Zarzà, I. es_ES
dc.contributor.author Yan, Hong es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.date.accessioned 2023-07-21T18:05:11Z
dc.date.available 2023-07-21T18:05:11Z
dc.date.issued 2022-08 es_ES
dc.identifier.uri http://hdl.handle.net/10251/195327
dc.description.abstract [EN] The library explores the applicability of the Hadamard as an input modulator for problems of classification. It introduces a framework in C++ to use kernel approximates in the mini-batch setting with Stochastic Gradient Descent. The algorithm requires to compute the product of matrices Walsh Hadamard. A free-standing cache friendly Fast Walsh Hadamard that achieves compelling speed is provided, as well as a lightweight efficient CPU implementation of the method for research and practical purposes alike. es_ES
dc.description.sponsorship This work is supported by HK Innovation and Technology Commission, Hong Kong (InnoHK Project CIMDA) and HK Research Grants Council, Hong Kong (Project CityU 11204821). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier B.V. es_ES
dc.relation.ispartof Software Impacts es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Hadamard es_ES
dc.subject Learning es_ES
dc.subject Classification es_ES
dc.subject SIMD es_ES
dc.subject SGD es_ES
dc.subject Drones es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title On the applicability of the Hadamard as an input modulator for problems of classification es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.simpa.2022.100325 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/RGC//11204821//Project CityU/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Innovation and Technology Commission - Hong Kong//Project CIMDA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation De Curtò, J.; De Zarzà, I.; Yan, H.; Tavares De Araujo Cesariny Calafate, CM. (2022). On the applicability of the Hadamard as an input modulator for problems of classification. Software Impacts. 13C:1-3. https://doi.org/10.1016/j.simpa.2022.100325 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.simpa.2022.100325 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 3 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13C es_ES
dc.identifier.eissn 2665-9638 es_ES
dc.relation.pasarela S\466777 es_ES
dc.contributor.funder Research Grant Council, Hong Kong es_ES
dc.contributor.funder Innovation and Technology Commission - Hong Kong es_ES


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