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Multiview Sample Classification Algorithm Based on L1-Graph Domain Adaptation Learning
Joint Authors
Lu, Huibin
Hu, Zhengping
Gao, Hongxiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In the case of multiview sample classification with different distribution, training and testing samples are from different domains.
In order to improve the classification performance, a multiview sample classification algorithm based on L1-Graph domain adaptation learning is presented.
First of all, a framework of nonnegative matrix trifactorization based on domain adaptation learning is formed, in which the unchanged information is regarded as the bridge of knowledge transformation from the source domain to the target domain; the second step is to construct L1-Graph on the basis of sparse representation, so as to search for the nearest neighbor data with self-adaptation and preserve the samples and the geometric structure; lastly, we integrate two complementary objective functions into the unified optimization issue and use the iterative algorithm to cope with it, and then the estimation of the testing sample classification is completed.
Comparative experiments are conducted in USPS-Binary digital database, Three-Domain Object Benchmark database, and ALOI database; the experimental results verify the effectiveness of the proposed algorithm, which improves the recognition accuracy and ensures the robustness of algorithm.
American Psychological Association (APA)
Lu, Huibin& Hu, Zhengping& Gao, Hongxiao. 2015. Multiview Sample Classification Algorithm Based on L1-Graph Domain Adaptation Learning. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073537
Modern Language Association (MLA)
Lu, Huibin…[et al.]. Multiview Sample Classification Algorithm Based on L1-Graph Domain Adaptation Learning. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073537
American Medical Association (AMA)
Lu, Huibin& Hu, Zhengping& Gao, Hongxiao. Multiview Sample Classification Algorithm Based on L1-Graph Domain Adaptation Learning. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073537
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073537