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IPSN
2004
Springer
15 years 12 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
SENSYS
2003
ACM
15 years 11 months ago
SIA: secure information aggregation in sensor networks
Sensor networks promise viable solutions to many monitoring problems. However, the practical deployment of sensor networks faces many challenges imposed by real-world demands. Sen...
Bartosz Przydatek, Dawn Xiaodong Song, Adrian Perr...
SIGECOM
2010
ACM
170views ECommerce» more  SIGECOM 2010»
15 years 11 months ago
Optimal online assignment with forecasts
Motivated by the allocation problem facing publishers in display advertising we formulate the online assignment with forecast problem, a version of the online allocation problem w...
Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasu...
SPAA
2010
ACM
15 years 11 months ago
Online capacity maximization in wireless networks
In this paper we study a dynamic version of capacity maximization in the physical model of wireless communication. In our model, requests for connections between pairs of points i...
Alexander Fanghänel, Sascha Geulen, Martin Ho...
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
15 years 10 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...