Art

J-GLOBAL ID：201902259867251103   Reference number：19A2029571

分散CNNにおける通信効率化のための圧縮技術検討

Author (3)： SHINTANI RYUTA (奈良先端科学技術大学院大) ,  NAKADA TAKASHI (奈良先端科学技術大学院大) ,  NAKASHIMA YASUHIKO (奈良先端科学技術大学院大)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 119  Issue： 147(CPSY2019 17-40)(Web)  Page： 203-208 (WEB ONLY)  Publication year： Jul. 17, 2019 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *neural network (biomodel) ,  *distributed processing ,  load ,  improvement of efficiency ,  *Data Compression ,  computer network ,  moving image ,  accuracy ,  object recognition ,  convolutional neuralnetwork ,  Edge computing ,  modification
Semi thesaurus term： communication load ,  information compression ,  Recognition Accuracy

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Graphic and image processing in general  (JE04010I)

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Terms in the title (2)： CNN ,  効率化