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Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy

Crossref DOI link: https://doi.org/10.1016/j.neucom.2015.07.116

Published Print: 2016-02

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Peng, Zhanglin

Li, Ya

Cai, Zhaoquan

Lin, Liang
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61170193, 61370185)

Guangdong Science and Technology Program (2012B031500006)

Guangdong Natural Science Foundation (S2012020011081, S2013010013432)

Integration of Industry, Education and Research of Guangdong Province (2012B091000101)

Program of Guangzhou Zhujiang Star of Science and Technology (2013J2200067)
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Text and Data Mining valid from 2016-02-01
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This article is maintained by: Elsevier

Article Title: Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy

Journal Title: Neurocomputing

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.neucom.2015.07.116

Content Type: article

Copyright: Copyright © 2015 Elsevier B.V. All rights reserved.