Fusion CNN Based on Feature Selection for Crime Scene Investigation Image Classification-Reference-Cited by-同舟云学术

Fusion CNN Based on Feature Selection for Crime Scene Investigation Image Classification

Published:2019-11-07 Issue: Volume: Page:773-780
ISSN:2194-5357
Container-title:Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
language:
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Author:

Zhang Qiannan,Liu Ying,Wang Fuping,Lu Jin,Li Daxiang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32591-6_83

Reference12 articles.

1. Liu, Y., Hu, D., Fan, J.L.: A survey of crime scene investigation image retrieval. Acta Electronica Sinica 46(3), 761–768 (2018)

2. Zhao, Y.D., Wang, Q., Fan, J.L.: Fuzzy KNN classification for criminal investigation image scene. Appl. Res. Comput. 31(10), 3158–3160 (2014)

3. Liu, Y., Yan, H., Lim, K.P.: Study on rotation-invariant texture feature extraction for tire pattern retrieval. Multidimension. Syst. Signal Process. 28(2), 757–770 (2017)

4. Bai, X.J., Shi, T.Y., Liu, Y.: An improved criminal scene investigation image classification algorithm. J. Xi’an Univ. Posts Telecommun. 21(6), 24–28 (2016)

5. Lan, R., Guo, S.C., Jia, S.Y.: Forensic image retrieval algorithm based on fusion. Comput. Eng. Des. 39(4), 1106–1110 (2018)

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