Relevance Feedback For Image Retrieval Using Transfer Learning and Improved MQHOA

Image retrieval is a challenging technology in multimedia applications where meeting the users’ subjective retrieval needs while achieving high retrieval performance is insufficient for existing methods. In this work, a related feedback image retrieval algorithm based on deep learning and optimizati...

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Veröffentlicht in:	Journal of physics. Conference series Jg. 1880; H. 1; S. 12006
Hauptverfasser:	Wang, Huaqiu, Liu, Qian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.04.2021
Schlagworte:	Algorithms Artificial neural networks Covariance matrix Feature extraction Feedback Harmonic oscillators Image management Image retrieval Machine learning Multimedia Optimization Physics
ISSN:	1742-6588, 1742-6596
Online-Zugang:	Volltext
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