Face image recognition via collaborative representation on selected training samples

Author:

Mi Jian-Xun

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference7 articles.

1. Robust face recognition via sparse representation;Wright;IEEE Trans. Pattern Anal. Mach. Intell.,2009

2. Linear regression for face recognition;Naseem;IEEE Trans. Pattern Anal. Mach. Intell.,2010

3. Bimodal biometrics based on a representation and recognition approach;Xu;Opt. Eng.,2011

4. Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments;Xu;Neurocomputing,2011

5. Sparse representation or collaborative representation: which helps face recognition?;Zhang,2011

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1. Novel sparse representation classification with a closed-form solution;2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT);2021-10-29

2. Robust supervised sparse representation for face recognition;Cognitive Systems Research;2020-08

3. Robust Face Recognition under Limited Training Sample Scenario using Linear Representation;KSII Transactions on Internet and Information Systems;2018-07-31

4. A nearest neighbor classifier based on virtual test samples for face recognition;Optik;2015-11

5. A Novel Feature Extraction Method Based on Collaborative Representation for Face Recognition;International Journal of Pattern Recognition and Artificial Intelligence;2015-05-20

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