期刊论文详细信息
CIT. Journal of Computing and Information Technology | |
Differential Evolution to Optimize Hidden Markov Models Training: Application to Facial Expression Recognition | |
Ghanem, Khadoudja1  Simbabawe, Arsène1  Draa, Amer1  Vyumvuhore, Elvis1  | |
[1] MISC Laboratory, Constantine 2 University, Constantine, Algeria | |
关键词: facial expressions; occurrence order; Hidden Markov Model; Baum-Welch; optimization; differential evolution; | |
DOI : | |
学科分类:计算机科学(综合) | |
来源: Sveuciliste u Zagrebu | |
【 摘 要 】
The base system in this paper uses Hidden Markov Models (HMMs) to model dynamic relationships among facial features in facial behavior interpretation and understanding field. The input of HMMs is a new set of derived features from...
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201911300002350ZK.pdf | 540KB | download |