no code implementations • 31 Aug 2018 • Jonathan P. Epperlein, Julien Monteil, Ming-ming Liu, Yingqi Gu, Sergiy Zhuk, Robert Shorten
We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work of [Y. Lassoued, J. Monteil, Y. Gu, G. Russo, R. Shorten, and M. Mevissen, "Hidden Markov model for route and destination prediction," in IEEE International Conference on Intelligent Transportation Systems, 2017].
no code implementations • 18 Dec 2017 • Ming-ming Liu, Min-qing Zhang, Jia Liu, Ying-nan Zhang, Yan Ke
The main idea of the method is that the class label of generative adversarial networks is replaced with the secret information as a driver to generate hidden image directly, and then extract the secret information from the hidden image through the discriminator.
Cryptography and Security Multimedia
