Locality-aware group sparse coding on Grassmann manifolds for image set classification-Reference-Cited by-同舟云学术

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Locality-aware group sparse coding on Grassmann manifolds for image set classification

Published:2020-04 Issue: Volume:385 Page:197-210
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wei Dong,Shen Xiaobo^ORCID,Sun Quansen,Gao Xizhan^ORCID,Yan Wenzhu

Funder

National Science Foundation of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference48 articles.

1. Grassmann discriminant analysis: a unifying view on subspace-based learning;Hamm,2008

2. Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching;Harandi,2011

3. Multilabel prediction via cross-view search;Shen;IEEE Trans. Neural Netw. Learn. Syst.,2017

4. Multiview discrete hashing for scalable multimedia search;Shen;ACM Trans. Intell. Syst. Technol. (TIST),2018

5. Manifold-manifold distance with application to face recognition based on image set;Wang,2008

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