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» Improving Gradient Estimation by Incorporating Sensor Data
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ICRA
1999
IEEE
136views Robotics» more  ICRA 1999»
13 years 12 months ago
The Arc-Transversal Median Algorithm: An Approach to Increasing Ultrasonic Sensor Accuracy
This paper describes a new method for improving the accuracy of range information using low resolution ultrasonic sensors mounted on a mobile robot. These sensors emit ultra-sound...
Keiji Nagatani, Howie Choset, Nicole A. Lazar
RAS
2007
148views more  RAS 2007»
13 years 7 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...
ICC
2007
IEEE
130views Communications» more  ICC 2007»
14 years 2 months ago
A Novel Key Redistribution Scheme for Wireless Sensor Networks
— Key management has long been a challenging problem in wireless Distributed Sensor Networks (DSNs) due to their high security requirements and strict resource constraints. Recen...
Chun-Fai Law, Ka-Shun Hung, Yu-Kwong Kwok
ISBI
2006
IEEE
14 years 8 months ago
Two probabilistic algorithms for MEG/EEG source reconstruction
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, ...
BMCBI
2008
136views more  BMCBI 2008»
13 years 7 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher