Online Multi-modal Hashing with Dynamic Query-adaption-Reference-Cited by-同舟云学术

Online Multi-modal Hashing with Dynamic Query-adaption

Published:2019-07-18 Issue: Volume: Page:
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Container-title:Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Lu Xu¹,Zhu Lei¹,Cheng Zhiyong²,Nie Liqiang³,Zhang Huaxiang¹

Affiliation:

1. Shandong Normal University, Jinan, China

2. Qilu University of Technology, Jinan, China

3. Shandong University, Jinan, China

Funder

National Natural Science Foundation of China

the Key Research and Development Foundation of Shandong Province

the Natural Science Foundation of Shandong China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3331184.3331217

Reference40 articles.

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2. Suthee Chaidaroon Travis Ebesu and Yi Fang. 2018. Deep Semantic Text Hashing with Weak Supervision. In SIGIR. 1109--1112. 10.1145/3209978.3210090 Suthee Chaidaroon Travis Ebesu and Yi Fang. 2018. Deep Semantic Text Hashing with Weak Supervision. In SIGIR. 1109--1112. 10.1145/3209978.3210090

3. Tat-Seng Chua Jinhui Tang Richang Hong Haojie Li Zhiping Luo and Yantao Zheng. 2009. NUS-WIDE: a real-world web image database from National University of Singapore. In CIVR. 48. 10.1145/1646396.1646452 Tat-Seng Chua Jinhui Tang Richang Hong Haojie Li Zhiping Luo and Yantao Zheng. 2009. NUS-WIDE: a real-world web image database from National University of Singapore. In CIVR. 48. 10.1145/1646396.1646452

4. Guiguang Ding Yuchen Guo and Jile Zhou. 2014. Collective matrix factorization hashing for multimodal data. In CVPR. 2075--2082. 10.1109/CVPR.2014.267 Guiguang Ding Yuchen Guo and Jile Zhou. 2014. Collective matrix factorization hashing for multimodal data. In CVPR. 2075--2082. 10.1109/CVPR.2014.267

5. Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

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