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IPMI
2007
Springer
15 years 10 months ago
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
Christian Bénar, Maureen Clerc, Théo...
54
Voted
UIST
1996
ACM
15 years 1 months ago
The Cage: Efficient Construction in 3D Using a Cubic Adaptive Grid
The Cage is an easy to use 3D grid. Built into a 3D modeler, it provides a visualized reference coordinate system that helps the user to orient himself in 3D space, and that suppo...
Patrick Baudisch
92
Voted
ATAL
2010
Springer
14 years 10 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
BC
2004
94views more  BC 2004»
14 years 9 months ago
An adaptive neuro-fuzzy method ( ANFIS) for estimating single-trial movement-related potentials
Abstract. This study aims to recover transient, trialvarying evoked potentials (EPs), in particular the movement-related potentials (MRPs), embedded within the background cerebral ...
D. D. Ben Dayan Rubin, G. Baselli, Gideon F. Inbar...
CVPR
2007
IEEE
15 years 11 months ago
Online Spatial-temporal Data Fusion for Robust Adaptive Tracking
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
Jixu Chen, Qiang Ji