Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions-Reference-Cited by-同舟云学术

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Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions

Published:2022-04 Issue: Volume:124 Page:108454
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Sedghi Mahlagha,Georgiopoulos Michael,Atia George K.

Funder

National Science Foundation

National Science Foundation Directorate for Computer and Information Science and Engineering

Publisher

Elsevier BV

Subject

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

Reference68 articles.

1. LIII. On lines and planes of closest fit to systems of points in space;Pearson;Lond., Edinb., Dublin Philos. Mag. J. Sci.,1901

2. A global geometric framework for nonlinear dimensionality reduction;Tenenbaum;Science,2000

3. Feature selection method with joint maximal information entropy between features and class;Zheng;Pattern Recognit.,2018

4. Unsupervised feature selection with adaptive multiple graph learning;Zhou;Pattern Recognit.,2020

5. Multi-resolution dictionary learning for face recognition;Luo;Pattern Recognit.,2019

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