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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 12 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
14 years 2 months ago
Leader-Follower Formations: Uncalibrated Vision-Based Localization and Control
— This paper focuses on leader-follower formations of mobile robots equipped with panoramic cameras and extend earlier works in the literature addressing both the visionbased loc...
Gian Luca Mariottini, Fabio Morbidi, Domenico Prat...
IVC
2006
193views more  IVC 2006»
13 years 7 months ago
Object tracking in an outdoor environment using fusion of features and cameras
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras. The proposed method int...
Quming Zhou, J. K. Aggarwal
RAS
2006
111views more  RAS 2006»
13 years 7 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
SIGPRO
2010
99views more  SIGPRO 2010»
13 years 6 months ago
Oversampled phase tracking in digital communications with large excess bandwidth
This paper deals with the on-line carrier phase estimation in a digital receiver. We consider a Brownian phase evolution in a Data Aided scenario. The proposed study uses an overs...
Jordi Vilà-Valls, Jean-Marc Brossier, Laure...