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Titlebook: STACS 92; 9th Annual Symposium Alain Finkel,Matthias Jantzen Conference proceedings 1992 Springer-Verlag Berlin Heidelberg 1992 Automat.alg

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书目名称STACS 92
副标题9th Annual Symposium
编辑Alain Finkel,Matthias Jantzen
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: STACS 92; 9th Annual Symposium Alain Finkel,Matthias Jantzen Conference proceedings 1992 Springer-Verlag Berlin Heidelberg 1992 Automat.alg
描述This volume gives the proceedings of the ninth Symposium onTheoretical Aspects of Computer Science (STACS). Thisannual symposium is heldalternately in France and Germanyand is organized jointly by the Special Interest Group forFundamental Computer Science of the AssociationFrancaisedes Sciences et Technologies de l‘Information et desSyst mes (AFCET) and the Special Interest Group forTheoretical Computer Science ofthe Gesellschaft f}rInformatik (GI).The volume includes three invited lectures and sections onparallel algorithms, logic and semantics,computationalgeometry, automata and languages, structuralcomplexity,computational geometry and learning theory, complexityandcommunication, distributed systems, complexity, algorithms,cryptography, VLSI, words and rewriting, and systems.
出版日期Conference proceedings 1992
关键词Automat; algorithm; algorithms; automata; complexity; computational geometry; computer; computer science; di
版次1
doihttps://doi.org/10.1007/3-540-55210-3
isbn_softcover978-3-540-55210-9
isbn_ebook978-3-540-46775-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1992
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Anne Condontioned four kinds of patterns by removing so called ‘null transactions’; by which not only possible to save precious computation time but also speeds up the overall mining process. Comprehensive experimental results show that the technique developed in this paper are feasible for mining large transa
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Eric Nassor,Guy Vidal-Naquetion. We extensively evaluate our generalized similarity model in several challenging cross-domain matching tasks: person reidentification in different views and face verification in different modalities (i.e., faces from still images and videos, older and younger faces, and sketch and photo portrait
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Michel Billaudion. We extensively evaluate our generalized similarity model in several challenging cross-domain matching tasks: person reidentification in different views and face verification in different modalities (i.e., faces from still images and videos, older and younger faces, and sketch and photo portrait
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