A new time series classification approach based on recurrence quantification analysis and Gabor filter-Reference-Cited by-同舟云学术

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A new time series classification approach based on recurrence quantification analysis and Gabor filter

Published:2016-04-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st Annual ACM Symposium on Applied Computing
language:
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Author:

Silva Angelo¹,Ishii Renato¹

Affiliation:

1. UFMS - FACOM, Campo Grande, MS, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2851613.2851891

Reference10 articles.

1. Textural features for image classification. Systems, Man and Cybernetics;Haralick R. M.;IEEE Transactions on, (6):610--621,1973

2. Using AUC and accuracy in evaluating learning algorithms

3. An Online Data Access Prediction and Optimization Approach for Distributed Systems

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