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» An LFT approach to parameter estimation
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ECML
2007
Springer
14 years 3 months ago
Learning an Outlier-Robust Kalman Filter
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
IBPRIA
2007
Springer
14 years 3 months ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
SENSYS
2005
ACM
14 years 2 months ago
Estimating clock uncertainty for efficient duty-cycling in sensor networks
Radio duty cycling has received significant attention in sensor networking literature, particularly in the form of protocols for medium access control and topology management. Whi...
Saurabh Ganeriwal, Deepak Ganesan, Hohyun Shim, Vl...
IROS
2008
IEEE
167views Robotics» more  IROS 2008»
14 years 3 months ago
Active rough shape estimation of unknown objects
— This paper presents a method to determine the rough shape of an object. This is a step in the development of a ”One Click Grasping Tool”, a grasping tool of everyday-life o...
Claire Dune, Éric Marchand, Christophe Coll...
CN
2010
110views more  CN 2010»
13 years 9 months ago
End-to-end quality of service seen by applications: A statistical learning approach
The focus of this work is on the estimation of quality of service (QoS) parameters seen by an application. Our proposal is based on end-to-end active measurements and statistical ...
Pablo Belzarena, Laura Aspirot