Efficient Semi-Supervised Multimodal Hashing With Importance Differentiation Regression

Multi-modal hashing learns compact binary hash codes by collaborating heterogeneous multi-modal features at both the model training and online retrieval stages to support large-scale multimedia retrieval. Previous multi-modal hashing methods mainly focus on supervised and unsupervised hashing. The p...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 28., Seite 5881-5892
1. Verfasser:	Zheng, Chaoqun (VerfasserIn)
Weitere Verfasser:	Zhu, Lei, Zhang, Zheng, Li, Jingjing, Yu, Xiaomei
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article