Anomaly detection of spectrum in wireless communication via deep auto-encoders-Reference-Cited by-同舟云学术

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Anomaly detection of spectrum in wireless communication via deep auto-encoders

Published:2017-03-28 Issue:7 Volume:73 Page:3161-3178
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Feng Qingsong,Zhang Yabin,Li Chao,Dou Zheng,Wang Jin

Funder

The National Natural Science Foundation of China

The Key Development Program of Basic Research of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s11227-017-2017-7/fulltext.html

Reference24 articles.

1. Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv 41(3):1–58

2. Aleskerov E, Freisleben B, Rao B (1997) Cardwatch: a neural network based database mining system for credit card fraud detection. In: Computational Intelligence for Financial Engineering (CIFEr), 1997, Proceedings of the IEEE/IAFE 1997, IEEE, pp 220–226

3. Kumar V (2005) Parallel and distributed computing for cybersecurity. IEEE Distrib Syst Online 6(10):1

4. Spence C, Parra L, Sajda P (2001) Detection, synthesis and compression in mammographic image analysis with a hierarchical image probability model. In: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2001. MMBIA 2001. IEEE, pp 3–10

5. Bertini M, Del Bimbo A, Seidenari L (2012) Multi-scale and real-time non-parametric approach for anomaly detection and localization. Comput Vis Image Underst 116(3):320–329

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