Hybrid nonlinear convolution filters for image recognition-Reference-Cited by-同舟云学术

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Hybrid nonlinear convolution filters for image recognition

Published:2020-09-11 Issue:2 Volume:51 Page:980-990
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Xiuling,Wei Kailun,Kang Xuenan,Li Jinxiang

Funder

Natural Science Foundation of Hebei Province

Science and Technology Research Key Project of High School of Hebei Province

Basic Research Special Breeding Project Supported by Yanshan University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01845-7.pdf

Reference36 articles.

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2. Lecun Y, Bottou L, Bengio Y, Haffner P (1998) Gradientbased learning applied to document recognition. Proc IEEE, pp 2278–2324

3. DiCarlo J, Zoccolan D, Rust N (2012) How does the brain solve visual object recognition. Neuron, pp 415–434

4. Ren Shaoqing, He Kaiming, Girshick Ross, Sun Jian (2017) Faster R-CNN: Towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell, pp 1137–1149

5. Dong C, Loy C, He K, Tang X (2014) Learning a deep convolutional network for image super-resolution. In: Proc Eur Conf Comput Vis, pp 184–199

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