http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Liu, Kai,Zhang, Hao,Ng, Joseph Kee-Yin,Xia, Yusheng,Feng, Liang,Lee, Victor C. S.,Son, Sang H. IEEE 2018 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS - Vol.14 No.3
<P>This work aims at proposing a transfer learning (TL)-based framework to enhance system scalability of fingerprint-based indoor localization by reducing offline training overhead without jeopardizing the localization accuracy. The basic principle is to reshape data distributions in the target domain based on the transferred knowledge from the source domains, so that those data belonging to the same cluster will be logically closer to each other, whereas others will be further apart from each other. Specifically, the TL-based framework consists of two parts, metric learning and metric transfer, which are used to learn the distance metrics from source domains and identify the most suitable metric for the target domain, respectively. Furthermore, this work implements a prototype of the fingerprint-based indoor localization system with the proposed TL-based framework embedded. Finally, extensive real-world experiments are conducted to demonstrate the effectiveness and the generality of the TL-based framework.</P>
Wang, Xian-Yu,Wang, Songhu,Hinse, Tobias C.,Li, Kai,Wang, Yong-Hao,Laughlin, Gregory,Liu, Hui-Gen,Zhang, Hui,Wu, Zhen-Yu,Zhou, Xu,Zhou, Ji-Lin,Hu, Shao-Ming,Wu, Dong-Hong,Peng, Xi-Yan,Chen, Yuan-Yuan Astronomical Society of the Pacific 2018 Publications of the Astronomical Society of the Pa Vol.130 No.988