SADIH: Semantic-Aware DIscrete Hashing
@article{Zhang2019SADIHSD, title={SADIH: Semantic-Aware DIscrete Hashing}, author={Z. Zhang and Guo-Sen Xie and Y. Li and Sheng Li and Zi Huang}, journal={ArXiv}, year={2019}, volume={abs/1904.01739} }
Due to its low storage cost and fast query speed, hashing has been recognized to accomplish similarity search in large-scale multimedia retrieval applications. Particularly supervised hashing has recently received considerable research attention by leveraging the label information to preserve the pairwise similarities of data points in the Hamming space. However, there still remain two crucial bottlenecks: 1) the learning process of the full pairwise similarity preservation is computationally… CONTINUE READING
4 Citations
Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding
- Computer Science, Medicine
- IEEE Transactions on Image Processing
- 2019
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Unsupervised hashing based on the recovery of subspace structures
- Computer Science
- Pattern Recognit.
- 2020
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