CSLSEP: an ensemble pruning algorithm based on clustering soft label and sorting for facial expression recognition

Applying ensemble learning to facial expression recognition is an important research field nowadays, but all may not be better than many, the redundant learners in the classifier pool may hinder the ensemble system’s performance, so ensemble pruning is needed. Ensemble pruning selects the most suita...

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Veröffentlicht in:	Multimedia systems 2023-06, Vol.29 (3), p.1463-1479
Hauptverfasser:	Huang, Shisong, Li, Danyang, Zhang, Zhuhong, Wu, Yating, Tang, Yumei, Chen, Xing, Wu, Yiqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Classifiers Clustering Computer Communication Networks Computer Graphics Computer Science Cryptology Data Storage Representation Face recognition Multimedia Information Systems Operating Systems Optimization models Redundancy Regular Paper Sorting algorithms
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