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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Vydané v:	2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC) s. 584 - 588
Hlavní autori:	Jingwen Zhang, Haochen Yin, Jinfang Wang, Shuxin Luan, Chang Liu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2018
Predmet:	Acoustics adaboost algorithm class imbalance Classification algorithms Collaboration collaborative representation Dictionaries Indexes major depression disorders Sensitivity small sample size Training
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