Unsupervised Adaptive Feature Selection With Binary Hashing-Reference-Cited by-同舟云学术

Unsupervised Adaptive Feature Selection With Binary Hashing

Author:

Shi Dan¹^ORCID,Zhu Lei¹^ORCID,Li Jingjing²^ORCID,Zhang Zheng³^ORCID,Chang Xiaojun⁴^ORCID

Affiliation:

1. School of Information Science and Engineering, Shandong Normal University, Jinan, China

2. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China

4. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong, China

Youth Innovation Project of Shandong Universities, China

CCF-BAIDU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference74 articles.

1. A simple framework for contrastive learning of visual representations;chen;Proc 37th Int Conf Mach Learn (PMLR),2020

4. Multilabel classification by hierarchical partitioning and data-dependent grouping;ubaru;arXiv 2006 14084,2020

5. Deep residual learning for image recognition;he;arXiv 1512 03385,2015

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