Emotional textile image classification based on cross-domain convolutional sparse autoencoders with feature selection-Reference-Cited by-同舟云学术

Emotional textile image classification based on cross-domain convolutional sparse autoencoders with feature selection

Published:2017-02-23 Issue:1 Volume:26 Page:013022
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Li Zuhe¹,Fan Yangyu²,Liu Weihua³,Yu Zeqi⁴,Wang Fengqin⁴

Affiliation:

1. Northwestern Polytechnical University, School of Electronics and Information, Xi’an, ChinabZhengzhou University of Light Industry, School of Computer and Communication Engineering, Zhengzhou, China

2. Northwestern Polytechnical University, School of Electronics and Information, Xi’an, China

3. Chinese Academy of Sciences, Xi’an Institute of Optics and Precision Mechanics, Xi’an, China

4. Zhengzhou University of Light Industry, School of Computer and Communication Engineering, Zhengzhou, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference41 articles.

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2. Understanding emotional impact of images using Bayesian multiple kernel learning

3. A survey on emotional semantic image retrieval;Wang,2008

4. Affective abstract image classification and retrieval using multiple kernel learning;Zhang,2013

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