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The significance of information visualisation based on the symbolic semantics of Peking Opera painted faces (POPF)

Author:
Ding Wang
,
Jinsheng Kang
,
Shengfeng Qin
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IranianCEE.2014.6999681
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1045714
Keyword(s): Algorithm design and analysis,Approximation algorithms,Approximation methods,Benchmark testing,Learning automata,Stochastic processes,Vectors,NP-Complete problem,cellular learning automata,irregular cellular learning automata,minimum vertex cover problem
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    The significance of information visualisation based on the symbolic semantics of Peking Opera painted faces (POPF)

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contributor authorDing Wang
contributor authorJinsheng Kang
contributor authorShengfeng Qin
date accessioned2020-03-12T21:20:51Z
date available2020-03-12T21:20:51Z
date issued2014
identifier other6935465.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1045714
formatgeneral
languageEnglish
publisherIEEE
titleThe significance of information visualisation based on the symbolic semantics of Peking Opera painted faces (POPF)
typeConference Paper
contenttypeMetadata Only
identifier padid8174347
subject keywordsAlgorithm design and analysis
subject keywordsApproximation algorithms
subject keywordsApproximation methods
subject keywordsBenchmark testing
subject keywordsLearning automata
subject keywordsStochastic processes
subject keywordsVectors
subject keywordsNP-Complete problem
subject keywordscellular learning automata
subject keywordsirregular cellular learning automata
subject keywordsminimum vertex cover problem
identifier doi10.1109/IranianCEE.2014.6999681
journal titleutomation and Computing (ICAC), 2014 20th International Conference on
filesize724796
citations0
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