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AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...
Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venka...
TSMC
2008
132views more  TSMC 2008»
13 years 7 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
IPSN
2005
Springer
14 years 26 days ago
Attack-resistant location estimation in sensor networks
— Many sensor network applications require sensors’ locations to function correctly. Despite the recent advances, location discovery for sensor networks in hostile environments...
Donggang Liu, Peng Ning, Wenliang Du
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 7 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
MLMI
2005
Springer
14 years 26 days ago
Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding
Abstract. This paper presents a novel approach to the problem of estimating and tracking 3D locations of multiple targets in a scene using measurements gathered from multiple calib...
Cristian Canton-Ferrer, Josep R. Casas, A. Murat T...