Unsupervised, Supervised and Semi‐supervised Dimensionality Reduction by Low‐Rank Regression Analysis-Reference-Cited by-同舟云学术

Unsupervised, Supervised and Semi‐supervised Dimensionality Reduction by Low‐Rank Regression Analysis

Published:2021-07 Issue:4 Volume:30 Page:603-610
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

Kewei TANG¹,Jun ZHANG¹,Changsheng ZHANG²,Lijun WANG³,Yun ZHAI⁴,Wei JIANG²

Affiliation:

1. School of Mathematics, Liaoning Normal UniversityDalian116029China

2. College of Computer Science and Artificial Intelligence, Wenzhou UniversityWenzhou325035China

3. Research Center for Information Science Theory and Methodology, Institute of Scientific and Technical Information of ChinaBeijing100038China

4. E‐Government Research Center, Chinese Academy of GovernanceBeijing100089China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.05.002

Reference38 articles.

1. A Face Hallucination Algorithm via an LLE Coefficients Prior Model

2. Multi-feature Multimodal Biometric Recognition Based on Quaternion Locality Preserving Projection

3. Sparse Weighted Canonical Correlation Analysis

4. Dimensionality Reduction for Hyperspectral Data Based on Sample‐Dependent Repulsion Graph Regularized Auto‐encoder

5. M.TurkandA.Pentland “Face recognition using eigenfaces” Proc. of IEEE Conference on Computer Vision and Pattern Recognition Lahaina Maui Hawaii USA pp.586—591 1991.

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