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Automatic generation of artistic chinese calligraphy
Songhua Xu
*
, Francis C.M. Lau
,
Kwok Wai Cheung
, Yunhe Pan
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to conference
›
Conference paper
›
peer-review
9
Citations (Scopus)
Overview
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Dive into the research topics of 'Automatic generation of artistic chinese calligraphy'. Together they form a unique fingerprint.
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Keyphrases
Calligraphy
100%
Automatic Generation
100%
Intelligent Systems
100%
Chinese Calligraphy
100%
Machine Learning
50%
New-style
50%
Constraint-based
50%
Input Source
50%
Geometric Constraints
50%
Parametric Representation
50%
Analogical Reasoning
50%
Acquired Knowledge
50%
Learning Phase
50%
Hierarchical Representation
50%
Computer Science
Machine Learning
100%
Learning System
100%
Automatic Generation
100%
Learning Phase
100%
Parametric Representation
100%
Hierarchical Level
100%
Engineering
Input Image
100%
Learning System
100%
Parametric Representation
100%
Geometric Constraint
100%
Input Source
100%
Arts and Humanities
Artwork
100%
Chinese calligraphy
100%
Cerebrovascular Accident
33%
Chinese
33%