A New Method of Deep Synergetic Neural Network ForFace Recognition

被引：0

作者：

Wei, Yuanzhang ^{[1
]}

Meng, Jicheng ^{[1
]}

Shen, Zonghui ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu, Sichuan, Peoples R China

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION PROCESSING (ICIIP'16) | 2016年

关键词：

Face Recognition; Neural Network; Deep Learning; Deep synergetic neural network_one (DSNN_1); FACE RECOGNITION;

D O I：

10.1145/3028842.3028888

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a new method, i.e. deep synergetic neural network_one (DSNN_1) for face recognition. DSSN_1 is built by a top-down manner, and it can eliminate the of pseudo-states with the traditional neural network. The experiments are performed to verify the performance of DSSN_1 on two famous face databases, i.e. AR and ORL. The experimental results indicate that the proposed DSNN_1 outperforms the SNN and convolutional neural network(CNN).

引用

页数：6