Compressed feature vector-based effective object recognition model in detection of COVID-19

•A fast and efficient feature compression method based on compressive sensing is proposed.•A model optimization method is proposed to reduce the computation cost during recognition.•The proposed strategyperforms well on recognition accuracy as well as recognition speed. To better understand the stru...

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Veröffentlicht in:	Pattern recognition letters Jg. 154; S. 60 - 67
Hauptverfasser:	Chen, Chao, Mao, Jinhong, Liu, Xinzhi, Tan, Yi, Abaido, Ghada M, Alsayed, Hamdy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.02.2022 Elsevier Science Ltd
Schlagworte:	Accuracy Complexity Coronaviruses COVID-19 Dependent variables Epidemiology Independent variables Kernels Object recognition Optimization Pattern recognition Sparse matrices Support vector machines
ISSN:	0167-8655, 1872-7344, 0167-8655
Online-Zugang:	Volltext
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