Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition-Reference-Cited by-同舟云学术

Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition

Published:2017-04 Issue:2 Volume:26 Page:129-136
ISSN:1060-992X
Container-title:Optical Memory and Neural Networks
language:en
Short-container-title:Opt. Mem. Neural Networks

Author:

Savchenko A. V.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.3103/S1060992X17020102.pdf

Reference27 articles.

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2. Savchenko, A.V., Adaptive video image recognition system using a committee machine, Opt. Mem. Neural Networks (Inform. Opt.), 2012, vol. 21, no. 4, pp. 219–226.

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4. Huang, Z., Wang, R., Shan, S., and Chen, X., Projection metric learning on Grassmann manifold with application to video based face recognition. Proc. of Int. Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE, 2015, pp. 140–149.

5. LeCun, Y., Bengio, Y., and Hinton, G., Deep learning, Nature, 2015, vol. 521, no. 7553, pp. 436–444.

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