Severe Major Depression Disorders Detection Using AdaBoost-Collaborative Representation Classification Method

Depression has become one of the most common psychological diseases, speech-based depression detection and severity recognition is a new trend in recent years. However, data insufficient issue and the significant imbalance among the different classes are the main challenge in the area at present. To...

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Veröffentlicht in:	2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC) S. 584 - 588
Hauptverfasser:	Jingwen Zhang, Haochen Yin, Jinfang Wang, Shuxin Luan, Chang Liu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2018
Schlagworte:	Acoustics adaboost algorithm class imbalance Classification algorithms Collaboration collaborative representation Dictionaries Indexes major depression disorders Sensitivity small sample size Training
Online-Zugang:	Volltext
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