Self-adaptive subspace representation from a geometric intuition-Reference-Cited by-同舟云学术

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Self-adaptive subspace representation from a geometric intuition

Published:2024-05 Issue: Volume:149 Page:110228
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Cai Lipeng,Shi Jun,Du Shaoyi,Gao Yue,Ying Shihui

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference51 articles.

1. Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction;Lu;Pattern Recognit.,2022

2. Low-rank linear embedding for image recognition;Chen;IEEE Trans. Multimedia,2018

3. Approximate low-rank projection learning for feature extraction;Fang;IEEE Trans. Neural Netw. Learn. Syst.,2018

4. Multiview jointly sparse discriminant common subspace learning;Lin;Pattern Recognit.,2023

5. Guide subspace learning for unsupervised domain adaptation;Zhang;IEEE Trans. Neural Netw. Learn. Syst.,2020

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