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CEAS
2004
Springer
15 years 8 months ago
On Attacking Statistical Spam Filters
The efforts of anti-spammers and spammers has often been described as an arms race. As we devise new ways to stem the flood of bulk mail, spammers respond by working their way ar...
Gregory L. Wittel, Shyhtsun Felix Wu
HUC
2004
Springer
15 years 8 months ago
Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Jeffrey Hightower, Gaetano Borriello
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
15 years 8 months ago
Outdoor exploration and SLAM using a compressed filter
Abstract— In this paper we describe the use of automatic exploration for autonomous mapping of outdoor scenes. We describe a real-time SLAM implementation along with an autonomou...
John Folkesson, Henrik I. Christensen
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
15 years 7 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
SIGIR
1998
ACM
15 years 7 months ago
Boosting and Rocchio Applied to Text Filtering
We discuss two learning algorithms for text filtering: modified Rocchio and a boosting algorithm called AdaBoost. We show how both algorithms can be adapted to maximize any gene...
Robert E. Schapire, Yoram Singer, Amit Singhal