文献
J-GLOBAL ID:201602290726116531
整理番号:16A1204578
びまん性の学習:視覚解析のための設計偏微分方程式への新しい展望【Powered by NICT】
Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
著者 (6件):
Liu Risheng
(Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software Technology, Dalian University of Technology)
,
Zhong Guangyu
(School of Mathematical Sciences, Dalian University of Technology)
,
Cao Junjie
(School of Mathematical Sciences, Dalian University of Technology)
,
Lin Zhouchen
(Key Laboratory of Machine Perception (MOE), School of Electronic Engineering and Computer Science, Peking University, and Cooperative Medianet Innovation Center, Shanghai Jiaotong University)
,
Shan Shiguang
(Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS)
,
Luo Zhongxuan
(Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software Technology, Dalian University of Technology)
資料名:
IEEE Transactions on Pattern Analysis and Machine Intelligence
(IEEE Transactions on Pattern Analysis and Machine Intelligence)
巻:
38
号:
12
ページ:
2457-2471
発行年:
2016年
JST資料番号:
B0519B
ISSN:
0162-8828
CODEN:
ITPIDJ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)