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Discriminative Supervised Subspace Learning for Cross-modal Retrieval
Thirdly, we introduce a similarity preservation term, thus our model can compensate for the shortcomings of insufficient use of discriminative data and better preserve the semantically structural information within each modality.
MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval
To this end, we develop a novel Multiple hash cOdes jOint learNing method (MOON) for cross-media retrieval.
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