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PERCOM
2007
ACM
16 years 6 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
ICN
2005
Springer
16 years 12 days ago
Two Energy-Efficient Routing Algorithms for Wireless Sensor Networks
: Power Conservation is one of the most important challenges in wireless sensor networks. In this paper, we present two minimum-energy routing algorithms. Our main goal is to reduc...
Hung Le Xuan, Youngku Lee, Sungyoung Lee
CORR
2008
Springer
125views Education» more  CORR 2008»
15 years 7 months ago
Data Reduction in Intrusion Alert Correlation
: Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, ...
Gianni Tedesco, Uwe Aickelin
CORR
2006
Springer
107views Education» more  CORR 2006»
15 years 7 months ago
The Multiple Access Channel with Feedback and Correlated Sources
Abstract-- In this paper, we investigate communication strategies for the multiple access channel with feedback and correlated sources (MACFCS). The MACFCS models a wireless sensor...
Lawrence Ong, Mehul Motani
ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 6 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun