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Dec 2, 2021 · The goal of multi-view hashing is to fully integrate different view characteristics from the same objects into compact and similarity-preserving ...
Composite nonlinear multiset canonical correlation analysis for multiview ... Fractional Multi-view Hashing with Semantic Correlation Maximization · Ruijie ...
Abstract. Due to its low storage cost and fast query speed, hashing has been widely adopted for similarity search in mul- timedia data.
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Fractional Multi-view Hashing with Semantic Correlation Maximization. Chapter ... In this paper, we propose a Fractional Multi-view Hashing with Semantic ...
Fractional Multi-view Hashing with Semantic Correlation Maximization · hmtl ... Multi-view Latent Hashing for Efficient Multimedia Search · hmtl icon · Xiao ...
With benefits of low storage costs and high query speeds, hashing methods are widely researched for efficiently re- trieving large-scale data, ...
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The proposed algorithm integrates information from several different sources into the binary hashing codes by adjusting the weights on each individual source ...
This paper proposes deep multi-semantic fusion-based cross-modal hashing (DMSFH), which uses two deep neural networks to extract cross-modal features.
Jun 21, 2014 · In this paper, a novel SMH method, called semantic correlation maximization~(SCM), is proposed to seamlessly integrate semantic labels into the hashing ...
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This technique allows for sufficient semantic correlations preserving of both intra- and inter-modality. The hash function learning module is to learn two hash ...