Low-Rank Representation and Locality-Constrained Regression for Robust Low-Resolution Face Recognition

Guangwei Gao; Pu Huang; Quan Zhou; Zangyi Hu; Dong Yue

doi:10.1007/978-3-319-69877-9_3

ScienceGate Book Chapters

BOOK-CHAPTER

Low-Rank Representation and Locality-Constrained Regression for Robust Low-Resolution Face Recognition

Guangwei Gao Pu Huang Quan Zhou Zangyi Hu Dong Yue

Year: 2017 Studies in computational intelligence Pages: 17-26 Publisher: Springer Nature

DOI: 10.1007/978-3-319-69877-9_3

Get Full-Text PDF Get Analytical Report

Keywords:

Locality Discriminative model Artificial intelligence Pattern recognition (psychology) Computer science Facial recognition system Sparse approximation Classifier (UML) Representation (politics) Robustness (evolution) Regression Machine learning Mathematics

Metrics

Cited By

0.36

FWCI (Field Weighted Citation Impact)

Refs

0.55

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Low-Rank Representation and Locality-Constrained Regression for Robust Low-Resolution Face Recognition

Metrics

Citation History

Topics

Related Documents

Robust low-resolution face recognition via low-rank representation and locality-constrained regression

Robust Face Super-Resolution via Locality-Constrained Low-Rank Representation

Low-rank constrained collaborative representation for robust face recognition

Face hallucination via locality-constrained low-rank representation

Very Low-Resolution Face Recognition via Semi-Coupled Locality-Constrained Representation