Titlebook: Model Design and Simulation Analysis; 15th International C Syng Yup Ohn,Sung Do Chi Conference proceedings 2016 Springer Science+Business M

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书目名称Model Design and Simulation Analysis影响因子(影响力)




书目名称Model Design and Simulation Analysis影响因子(影响力)学科排名




书目名称Model Design and Simulation Analysis网络公开度




书目名称Model Design and Simulation Analysis网络公开度学科排名




书目名称Model Design and Simulation Analysis被引频次




书目名称Model Design and Simulation Analysis被引频次学科排名




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书目名称Model Design and Simulation Analysis年度引用学科排名




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书目名称Model Design and Simulation Analysis读者反馈学科排名

Foment

大气层

Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/635747.jpg

掺假

https://doi.org/10.1007/978-981-10-2158-9modeling and simulation; model and design; virtual reality; aerospace; e-business; general and engineerin

euphoria

Carcinogenesis

1865-0929 u, Korea, in November 2016..The 11 revised full papers presented were carefully reviewed and selected from 126 submissions. The papers are organized in topical sections on model and design; simulation and analysis. .978-981-10-2157-2978-981-10-2158-9Series ISSN 1865-0929 Series E-ISSN 1865-0937

鲁莽

Conference proceedings 2016in November 2016..The 11 revised full papers presented were carefully reviewed and selected from 126 submissions. The papers are organized in topical sections on model and design; simulation and analysis. .

ALB

缝纫

Asymmetric Mutual Learning for Unsupervised Cross-Domain Person Re-identificationt with each other. Specifically, we propose a merging clusters algorithm to generate asymmetric labels. We also introduce a similarity weighted loss which can further adapt the model to target domain. Extensive experiments demonstrate that our approach outperforms the state-of-the-art methods on three popular person re-identification datasets.

AGGER

Bilateral Negotiation Model for Agent-Mediated Electronic Commerceve product suggestion, ultimatum generation, local contract agreements, etc. These facilities intend to grant users with a more flexible e-commerce environment. We present our model formalization, including the knowledge base that determines agent behavior. Some empirical validation is also presente