Trusted Multi-View Classification With Dynamic Evidential Fusion

Existing multi-view classification algorithms focus on promoting accuracy by exploiting different views, typically integrating them into common representations for follow-up tasks. Although effective, it is also crucial to ensure the reliability of both the multi-view integration and the final decis...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 45; H. 2; S. 2551 - 2566
Hauptverfasser:	Han, Zongbo, Zhang, Changqing, Fu, Huazhu, Zhou, Joey Tianyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bayes methods Classification Computational modeling Dirichlet problem Estimation Evidential deep learning Heuristic algorithms Learning Model accuracy multi-view learning Reliability Robustness Trustworthiness Uncertainty varitional Dirichlet
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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