Image spam filtering using convolutional neural networks

Author:

Aiwan Fan,Zhaofeng Yang

Funder

The National Youth Science Foundation project of China

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Reference37 articles.

1. Russakovsky O, Deng J, Su H, Fei-Fei L et al. (2015) imagenet large scale visual recognition challenge[J]. Int J Comput Vis 115(3):211–252

2. Le Cun Y et al (1990) Handwritten digit recognition with a back-propagation network. In: Advances in neural information processing systems

3. Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks[C]. In: International conference on neural information processing systems, curran associates Inc., pp 1097–1105

4. Sermanet P, Eigen D, Zhang X et al. (2013) OverFeat: integrated recognition, localization and detection using convolutional networks[J]. Eprint Arxiv

5. He K, Zhang X, Ren S et al. (2014) Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Trans Pattern Anal Mach Intell 37(9):1904–1916

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