Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification

Shaojun Shi; Feiping Nie; Rong Wang; Xuelong Li

doi:10.1016/j.neucom.2022.02.026

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JOURNAL ARTICLE

Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification

Shaojun Shi Feiping Nie Rong Wang Xuelong Li

Year: 2022 Journal: Neurocomputing Vol: 488 Pages: 248-260 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2022.02.026

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Keywords:

Computer science Artificial intelligence Graph Pattern recognition (psychology) Semi-supervised learning Machine learning Euclidean distance Compatibility (geochemistry) Contextual image classification Data mining Image (mathematics) Theoretical computer science

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Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification

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Citation History

Topics

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