Multi-Level Cascade Sparse Representation Learning for Small Data Classification-Reference-Cited by-同舟云学术

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Multi-Level Cascade Sparse Representation Learning for Small Data Classification

Published:2023-05 Issue:5 Volume:33 Page:2451-2464
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Zhong Wenyuan¹,Li Huaxiong¹^ORCID,Hu Qinghua²^ORCID,Gao Yang³^ORCID,Chen Chunlin¹^ORCID

Affiliation:

1. Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China

2. School of Computer Science and Technology, Tianjin University, Tianjin, China

3. Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10116045/09950524.pdf?arnumber=9950524

Reference59 articles.

1. Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation

2. CosFace: Large Margin Cosine Loss for Deep Face Recognition

3. Deep Forest: Towards An Alternative to Deep Neural Networks

4. SphereFace: Deep Hypersphere Embedding for Face Recognition

5. Unified Sparse Subspace Learning via Self-Contained Regression

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. A robust mixed error coding method based on nonconvex sparse representation;Information Sciences;2023-07

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