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ISBI
2006
IEEE
16 years 7 months ago
Nonlinear classification of EEG data for seizure detection
We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manif...
Mabel Ramírez-Vélez, Richard Staba, ...
IROS
2008
IEEE
122views Robotics» more  IROS 2008»
16 years 21 days ago
A probabilistic Programming by Demonstration framework handling constraints in joint space and task space
— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Sylvain Calinon, Aude Billard
SIBGRAPI
2008
IEEE
16 years 20 days ago
Approximations by Smooth Transitions in Binary Space Partitions
This work proposes a simple approximation scheme for discrete data that leads to an infinitely smooth result without global optimization. It combines the flexibility of Binary Sp...
Marcos Lage, Alex Laier Bordignon, Fabiano Petrone...
ICRA
2007
IEEE
140views Robotics» more  ICRA 2007»
16 years 18 days ago
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM
Abstract— In this paper, simultaneous localisation and mapping (SLAM) is combined with landmark recognition to close large loops in unstructured, outdoor environments. Camera and...
Fabio T. Ramos, Juan Nieto, Hugh F. Durrant-Whyte
IBPRIA
2007
Springer
16 years 13 days ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...