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Facial expression recognition based on conjugate gradient extreme learning machine
Author(s): Jian Chen
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Paper Abstract

This paper proposed a face recognition algorithm based on conjugate gradient extreme learning machine. General extreme learning machine algorithm, which is gained by using method of calculating generalized inverse, the process is a large amount of computation and memory consumption. For this problem, this paper proves the positive definiteness of the calculated matrix, and based on this, an extreme learning machine solution algorithm based on conjugate gradient algorithm was proposed and kernel function is introduced to improve its nonlinear classification performance. At the same time, DAG method is used to extend the binary classification conjugate gradient extreme learning machine to multi-classification problems. Experimental results show that the computational speed of the algorithm in this paper is faster than that of the general extreme learning machine algorithm, and the classification accuracy is higher than that of the general extreme learning machine algorithm.

Paper Details

Date Published: 31 July 2019
PDF: 8 pages
Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980I (31 July 2019); doi: 10.1117/12.2540969
Show Author Affiliations
Jian Chen, Fuzhou Univ. (China)


Published in SPIE Proceedings Vol. 11198:
Fourth International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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