Deep Forest with Local Experts Based on ELM for Pedestrian Detection-Reference-Cited by-同舟云学术

Deep Forest with Local Experts Based on ELM for Pedestrian Detection

Published:2018 Issue: Volume: Page:803-814
ISSN:0302-9743
Container-title:Advances in Multimedia Information Processing – PCM 2018
language:
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Author:

Zheng Wenbo,Cao Sisi,Jin Xin,Mo Shaocong,Gao Han,Qu Yili,Zheng Chengfeng,Long Sijie,Shuai Jia,Xie Zefeng,Jiang Wei,Du Hang,Zhu Yongsheng

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00767-6_74

Reference34 articles.

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2. Bilal, M.: Algorithmic optimization of histogram intersection kernel SVM-based pedestrian detection using low complexity features. IET Comput. Vis. 11(5), 350–357 (2017)

3. Erik, C., et al.: Extreme learning machines [trends & controversies]. IEEE Intell. Syst. 28(6), 30–59 (2013)

4. Cao, J., Pang, Y., Li, X.: Learning multilayer channel features for pedestrian detection. IEEE Trans. Image Process. 26(7), 3210–3220 (2016)

5. Cao, S., et al.: Access control of cloud users credible behavior based on IPv6. In: 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), pp. 303–308. IEEE (2018)

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