Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
—Positioning is a crucial task in pervasive computing, aimed at estimating the user’s positions to provide location-based services. In this paper, we study an interesting probl...
Vincent Wenchen Zheng, Junhui Zhao, Yongcai Wang, ...
In this paper we introduce a “Spatialized Haptic Rendering” technique to enhance 6DOF haptic manipulation of virtual objects with impact position information using vibrations....
— Recently, the RFID tag system is paid attention to as an identification source. Each RFID tag is attached to some object. With the unique ID of RFID tag, a user identifies the ...
Toshihiro Hori, Tomotaka Wada, Yuuki Ota, Norie Uc...
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...