Learning graph representation with Randomized Neural Network for dynamic texture classification-Reference-Cited by-同舟云学术

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Learning graph representation with Randomized Neural Network for dynamic texture classification

Published:2022-01 Issue: Volume:114 Page:108035
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ribas Lucas C.,Sá Junior Jarbas Joaci de Mesquita,Manzanera Antoine,Bruno Odemir M.

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Software

Reference70 articles.

1. Dynamic textures;Doretto;Int. J. Comput. Vis.,2003

2. Y. Xu, Y. Quan, H. Ling, H. Ji, Dynamic texture classification using dynamic fractal analysis, in: 2011 International Conference on Computer Vision, 2011, pp. 1219–1226.

3. Dynamic texture analysis with diffusion in networks;Ribas;Digit. Signal Process.,2019

4. Dynamic texture recognition using volume local binary count patterns with an application to 2D face spoofing detection;Zhao;IEEE Trans. Multimed.,2018

5. K.G. Derpanis, R.P. Wildes, Classification of traffic video based on a spatiotemporal orientation analysis, in: IEEE Workshop on Applications of Computer Vision, WACV, 2011, pp. 606–613.

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