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For: Guraya FFE, Alaya Cheikh F. Neural networks based visual attention model for surveillance videos. Neurocomputing 2015;149:1348-59. [DOI: 10.1016/j.neucom.2014.08.062] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Number Cited by Other Article(s)
1
Zeng L, Ren W, Shan L. Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.07.026] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
2
Motion segmentation-based surveillance video compression using adaptive particle swarm optimization. Neural Comput Appl 2019. [DOI: 10.1007/s00521-019-04635-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
3
Chen BH, Huang SC, Yen JY. Counter-propagation artificial neural network-based motion detection algorithm for static-camera surveillance scenarios. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2017.08.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
4
Yang Z, Xiong H. Image classification based on saliency coding with category-specific codebooks. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.07.124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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