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J-GLOBAL ID:201902245403399266
Reference number:19A1172812
一対多のデータフローにおける共有CNNを用いたマルチタスク分割推論実行
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Author (3):
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Material:
Volume:
118
Issue:
514(CPSY2018 103-121)(Web)
Page:
241-246 (WEB ONLY)
Publication year:
Mar. 10, 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)
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All keywords is available on JDreamIII(charged).
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification
Category name(code) classified by JST.
Artificial intelligence
Reference (13):
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総務省, “情報通信白書”
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J. Yosinski, J. Clune, Y. Bengio, and H. Lipson, “How transferable are features in deep neural networks?,” CoRR, abs/1411.1792, 2014.
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Y. Kang, J. Hauswald, C. Gao, A. Rovinski, T.N. Mudge, J. Mars, and L. Tang, “Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,” ASPLOS, 615-629, ACM, 2017.
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K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” CoRR, abs/1409.1556, 2014.
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H. Choi and I.V. Baji, “Near-lossless deep feature compression for collaborative intelligence,” IEEE MMSP’18, Vancouver, BC, 2018.
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Terms in the title (5):
Terms in the title
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