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A novel fusion strategy for probabilistic sparse representation classifier guided by support vector machines
Zhou,Jianhang; Zeng,Shaoning; Zhang,Bob
2019-08
Conference NameELEVENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2019)
Source PublicationProceedings of SPIE - The International Society for Optical Engineering
Volume11179
Conference DateMAY 10-13, 2019
Conference PlaceSun Yat Sen Univ, Guangzhou, PEOPLES R CHINA
Abstract

In recent object recognition research, the Sparse Representation based Classifier (SRC) and Collaborative Representation based Classification (CRC) have been widely used, achieving promising performances and robustness. However, both of these two algorithms are seldomly fused in classification based on the theory of probability. In this paper, we propose a novel image classification algorithm named Probabilistic Sparse-Collaborative Representation based Classifier (PSCRC), by fusing SRC and CRC. To boost the recognition performance and maintain the robustness of SRC, we introduce the theory of probability to offer different weights for each element in the coefficient vectors of SRC and CRC, respectively. We generate the probabilities of each sample in the training set by using Support Vector Machines (SVMs) which are fused with the coefficients of SRC and CRC. The proposed method is verified on five popular real word image datasets while being compared with other classifiers. The numerical results in the experiments show that the proposed classifier using our fusion strategy outperforms others.

KeywordClassifier Fusion Collaborative Representation Object Recognition Sparse Representation
DOI10.1117/12.2539642
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000511106700112
Scopus ID2-s2.0-85072620124
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Corresponding AuthorZhang,Bob
AffiliationPAMI Research Group,Department of Computer and Information Science,University of Macau,Taipa,Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhou,Jianhang,Zeng,Shaoning,Zhang,Bob. A novel fusion strategy for probabilistic sparse representation classifier guided by support vector machines[C],2019.
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