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1. Pruned Convolutional Neural Network with two supervisory signals for Face Recognition | |||
ZOU Ying,LIU Xiaohong | |||
Information Science and System Science 11 November 2016 | |||
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Abstract:Deep convolution neural network (CNN) has achieved a great success on face recognition techniques. But most of CNN models tend to be much deeper, which are at the expenses of high consumption of computation and storage. So, it is hard for these deep CNNs applied to mobile equipments because of poor computational and memory resources. To alleviate this issue, this paper optimizes a lightened baseline CNN model by adopting an additional contrastive loss to extract more discriminative features. To further reduce the number of parameters, a pruning strategy is tried to compress our model, which slightly improves accuracy on the LFW dataset with the compression ratio of 0.7. Finally, experimental results show that the proposed method achieve state-of-the-art results with much smaller size and fewer training data. | |||
TO cite this article:ZOU Ying,LIU Xiaohong. Pruned Convolutional Neural Network with two supervisory signals for Face Recognition[OL].[11 November 2016] http://en.paper.edu.cn/en_releasepaper/content/4709529 |
2. A Multi-Strategy Approach for Global Maritime Distress and Safety System | |||
Tauseef Ahmed,Jiang Tao | |||
Information Science and System Science 23 April 2010 | |||
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Abstract:This paper proposed a revised disaster management plan for the vessels based on Global Maritime Distress and Safety System (GMDSS). This plan addresses the flawless communication for the vessels in emergency and distress. GMDSS comprises of complex systems resulting in high equipment cost, operational complexity and high false alert rate which compromised the maritime safety. The proposed plan guarantees the eradication of the flaws of GMDSS by removal of unnecessary features, standardization of the emergency communication result in communication among all ships and offshore. Digital Selective Calling (DSC) is the black sheep of GMDSS and is replaced by satellite phone or GSM protocol for terrestrial communication. Unmanned aerial vehicle (UAV) is equipped with system that ensures assistance in navigation and monitoring the sea traffic; it also provides the backbone network for GSM communication. The objective of this paper is to discuss the current flaws of GMDSS and to present methods to resolve them. | |||
TO cite this article:Tauseef Ahmed,Jiang Tao. A Multi-Strategy Approach for Global Maritime Distress and Safety System[OL].[23 April 2010] http://en.paper.edu.cn/en_releasepaper/content/42304 |
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