Discriminative graph regularized broad learning system for image recognition
Jin, Junwei1; Liu, Zhulin1; Chen, C. L. Philip1,2,3
AbstractBroad learning system (BLS) has been proposed as an alternative method of deep learning. The architecture of BLS is that the input is randomly mapped into series of feature spaces which form the feature nodes, and the output of the feature nodes are expanded broadly to form the enhancement nodes, and then the output weights of the network can be determined analytically. The most advantage of BLS is that it can be learned incrementally without a retraining process when there comes new input data or neural nodes. It has been proven that BLS can overcome the inadequacies caused by training a large number of parameters in gradient-based deep learning algorithms. In this paper, a novel variant graph regularized broad learning system (GBLS) is proposed. Taking account of the locally invariant property of data, which means the similar images may share similar properties, the manifold learning is incorporated into the objective function of the standard BLS. In GBLS, the output weights are constrained to learn more discriminative information, and the classification ability can be further enhanced. Several experiments are carried out to verify that our proposed GBLS model can outperform the standard BLS. What is more, the GBLS also performs better compared with other state-of-the-art image recognition methods in several image databases.
Keywordbroad learning system deep learning graph regularization image recognition feature extraction incremental learning
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Indexed BySCI
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000447851800001
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Cited Times [WOS]:14   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China;
2.Dalian Maritime Univ, Dalian 116026, Peoples R China;
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Jin, Junwei,Liu, Zhulin,Chen, C. L. Philip. Discriminative graph regularized broad learning system for image recognition[J]. SCIENCE CHINA-INFORMATION SCIENCES,2018,61(11).
APA Jin, Junwei,Liu, Zhulin,&Chen, C. L. Philip.(2018).Discriminative graph regularized broad learning system for image recognition.SCIENCE CHINA-INFORMATION SCIENCES,61(11).
MLA Jin, Junwei,et al."Discriminative graph regularized broad learning system for image recognition".SCIENCE CHINA-INFORMATION SCIENCES 61.11(2018).
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