文献
J-GLOBAL ID:201802217991211066
整理番号:18A1621609
ロボット支援視覚システムのための物体検出と認識へのマルチRPN融合ベースのスパースPCA-CNNアプローチ【JST・京大機械翻訳】
Multi-RPN Fusion-based Sparse PCA-CNN Approach to Object Detection and Recognition for Robot-aided Visual System
著者 (6件):
Xia Chong-Kun
(College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China)
,
Zhang Yun-Zhou
(College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China)
,
Zhang Peng-Fei
(College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China)
,
Qin Cao
(College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China)
,
Zheng Rui
(College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China)
,
Liu Shuang-Wei
(College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
CYBER
ページ:
394-399
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)