Discriminative latent semantics-preserving similarity embedding hashing for cross-modal retrieval
Author:
Funder
Guangdong Basic and Applied Basic Research Foundation
Guangdong Provincial Key Laboratory of Intellectual Property and Big Data under Grant
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09616-y.pdf
Reference56 articles.
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3. Wang X, Liu X, Hu Z, Wang N, Fan W, Du J-X (2019) Semi-supervised semantic-preserving hashing for efficient cross-modal retrieval. In: 2019 IEEE International Conference on Multimedia and Expo (ICME), pp. 1006–1011. IEEE
4. Shu Z, Yong K, Zhang D, Yu J, Yu Z, Wu X-J (2023) Robust supervised matrix factorization hashing with application to cross-modal retrieval. Neural Comput Appl 35(9):6665–6684
5. Tan J, Yang Z, Ye J, Chen R, Cheng Y, Qin J, Chen Y (2023) Cross-modal hash retrieval based on semantic multiple similarity learning and interactive projection matrix learning. Inf Sci 648:119571
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