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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書目名稱Model Design and Simulation Analysis影響因子(影響力)




書目名稱Model Design and Simulation Analysis影響因子(影響力)學(xué)科排名




書目名稱Model Design and Simulation Analysis網(wǎng)絡(luò)公開度




書目名稱Model Design and Simulation Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Model Design and Simulation Analysis被引頻次




書目名稱Model Design and Simulation Analysis被引頻次學(xué)科排名




書目名稱Model Design and Simulation Analysis年度引用




書目名稱Model Design and Simulation Analysis年度引用學(xué)科排名




書目名稱Model Design and Simulation Analysis讀者反饋




書目名稱Model Design and Simulation Analysis讀者反饋學(xué)科排名

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大氣層

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

摻假

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

魯莽

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

縫紉

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