Fast Discrete Matrix Factorization Hashing for Large-Scale Cross-Modal Retrieval-Reference-Cited by-同舟云学术

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Fast Discrete Matrix Factorization Hashing for Large-Scale Cross-Modal Retrieval

Published:2021 Issue: Volume: Page:24-36
ISSN:0302-9743
Container-title:MultiMedia Modeling
language:
Short-container-title:

Author:

Zhao Huan,She Xiaolin,Wang Song,Ma Kaili

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67832-6_3

Reference23 articles.

1. Wang, J., Liu, W., Kumar, S., Chang, S.: Learning to hash for indexing big data–a survey. Proc. IEEE 104(1), 34–57 (2016)

2. Peng, Y., Huang, X., Zhao, Y.: An overview of cross-media retrieval: concepts, methodologies, benchmarks, and challenges. IEEE Trans. Circuits Syst. Video Technol. 28(9), 2372–2385 (2018)

3. Ding, G., Guo, Y., Zhou, J.: Collective matrix factorization hashing for multimodal data. In: CVPR, pp. 2075–2082 (2014)

4. Zhou, J., Ding, G., Guo, Y.: Latent semantic sparse hashing for cross-modal similarity search. In: SIGIR, pp. 415–424 (2014)

5. Long, M., Cao, Y., Wang, J., Yu, P.S.: Composite correlation quantization for efficient multimodal retrieval. In: SIGIR, pp. 579–588 (2016)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BiasHash: A Bayesian Hashing Framework for Image Retrieval;2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP);2022-06-26

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