An Automatic Facial Expression Recognition Approach Based on Confusion-Crossed Support Vector Machine Tree

Automatic facial expression recognition is the kernel part of emotional information processing. This paper dedicates to develop an automatic facial expression recognition approach based on confusion-crossed support vector machine tree (CSVMT) to improve recognition accuracy and robustness. After the...

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Bibliographische Detailangaben

Hauptverfasser:	Qinzhen Xu, Pinzheng Zhang, Wenjiang Pei, Luxi Yang, Zhenya He
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Emotion recognition Face recognition Facial features Feature extraction Humans Image classification Image recognition Pattern recognition Psychology Robustness Support vector machines
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