Residential College | false |
Status | 已發表Published |
Application of Broad Learning System for Image Classification Based on Deep Features | |
Zhang, Dan1,2; Zuo, Yi1; Chen, Philip C.L.1,3,4; Wang, Chiye2; Li, Teishan1,5 | |
2021 | |
Conference Name | 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020 |
Source Publication | Communications in Computer and Information Science |
Volume | 1397 CCIS |
Pages | 464-471 |
Conference Date | 25 December 2020through 27 December 2020 |
Conference Place | Zhuhai |
Country | China |
Abstract | Due to large amount of image data, the accuracy and real-time performance of classification are difficult problems in image classification. On the one hand, the broad learning system (BLS) has achieved good results in the timeliness of classification. On the other hand, deep learning feature extraction effect is good, but its structure is complex and the training time is long. Therefore, based on the above advantages of both methods, this paper proposed BLS based on deep features for image classification. Firstly, a feature extractor is constructed based on the ResNet101 to obtain the deep features of the classification image. Then, the feature nodes and enhancement nodes of BLS are constructed based on the deep features. Through the experiment, our method has two performance on benchmark datasets: high classification accuracy, good real-time. |
Keyword | Broad Learning Deep Features Image Classification |
DOI | 10.1007/978-981-16-2336-3_44 |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85106435085 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Affiliation | 1.Navigation College, Dalian Maritime University, Dalian, 116026, China 2.Innovation and Entrepreneurship Education College, Dalian Minzu University, Dalian, 116600, China 3.Computer Science and Engineering College, South China University of Technology, Guangzhou, 510641, China 4.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, 99999, Macao 5.School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China |
Recommended Citation GB/T 7714 | Zhang, Dan,Zuo, Yi,Chen, Philip C.L.,et al. Application of Broad Learning System for Image Classification Based on Deep Features[C], 2021, 464-471. |
APA | Zhang, Dan., Zuo, Yi., Chen, Philip C.L.., Wang, Chiye., & Li, Teishan (2021). Application of Broad Learning System for Image Classification Based on Deep Features. Communications in Computer and Information Science, 1397 CCIS, 464-471. |
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