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» Using Clustering Information for Sensor Network Localization
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FGCS
2006
87views more  FGCS 2006»
13 years 9 months ago
Task distribution with a random overlay network
We consider a model where commodity service providers are offering commodity computational services to a set of customers. We provide a solution for the efficient distribution of ...
Ladislau Bölöni, Damla Turgut, Dan C. Ma...
UAI
2003
13 years 10 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
TROB
2008
228views more  TROB 2008»
13 years 8 months ago
Large-Scale 6-DOF SLAM With Stereo-in-Hand
In this paper, we describe a system that can carry4 out simultaneous localization and mapping (SLAM) in large in-5 door and outdoor environments using a stereo pair moving with 66 ...
Lina María Paz, Pedro Pinies, Juan D. Tard&...
ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 6 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison
IWSOS
2007
Springer
14 years 3 months ago
Collaborative Anomaly-Based Attack Detection
Today networks suffer from various challenges like distributed denial of service attacks or worms. Multiple different anomaly-based detection systems try to detect and counter such...
Thomas Gamer, Michael Scharf, Marcus Schöller