Flexible Cross-Modal Hashing

Hashing has been widely adopted for large-scale data retrieval in many domains due to its low storage cost and high retrieval speed. Existing cross-modal hashing methods optimistically assume that the correspondence between training samples across modalities is readily available. This assumption is...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2022-01, Vol.33 (1), p.304-314
Hauptverfasser:	Yu, Guoxian, Liu, Xuanwu, Wang, Jun, Domeniconi, Carlotta, Zhang, Xiangliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Clustering-based match Correlation Correspondence cross-modal hashing Data retrieval Flexibility Hash functions Linear programming Objective function Optimization Optimization techniques Semantics STEM Training weakly paired data
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