Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks

Jun-Yu Ye; Yan‐Ming Zhang; Qing Yang; Cheng‐Lin Liu

doi:10.1007/s42979-020-00177-0

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JOURNAL ARTICLE

Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks

Jun-Yu Ye Yan‐Ming Zhang Qing Yang Cheng‐Lin Liu

Year: 2020 Journal: SN Computer Science Vol: 1 (3) Publisher: Springer Nature

DOI: 10.1007/s42979-020-00177-0

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Keywords:

Computer science Handwriting Graph Artificial intelligence Enhanced Data Rates for GSM Evolution Task (project management) Pattern recognition (psychology) Machine learning Data mining Theoretical computer science

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Topics

Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks

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Citation History

Topics

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