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ECML
2007
Springer
16 years 10 days ago
Learning to Classify Documents with Only a Small Positive Training Set
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...
Xiaoli Li, Bing Liu, See-Kiong Ng
PERCOM
2009
ACM
16 years 1 months ago
HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors
—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, ...
VR
2009
IEEE
130views Virtual Reality» more  VR 2009»
16 years 27 days ago
Spatialized Haptic Rendering: Providing Impact Position Information in 6DOF Haptic Simulations Using Vibrations
In this paper we introduce a “Spatialized Haptic Rendering” technique to enhance 6DOF haptic manipulation of virtual objects with impact position information using vibrations....
Jean Sreng, Anatole Lécuyer, Claude Andriot...
WIMOB
2008
IEEE
16 years 16 days ago
A Multi-Sensing-Range Method for Position Estimation of Passive RFID Tags
— 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...
ECML
2005
Springer
15 years 11 months ago
Learning from Positive and Unlabeled Examples with Different Data Distributions
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...
Xiaoli Li, Bing Liu