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» Accelerating neuroevolutionary methods using a Kalman filter
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ECCV
1996
Springer
14 years 9 months ago
Elastically Adaptive Deformable Models
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
Dimitris N. Metaxas, Ioannis A. Kakadiaris
MICCAI
2004
Springer
14 years 8 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...
ICPR
2010
IEEE
13 years 5 months ago
3D Filtering for Injury Detection in Brain MRI
This paper introduces a brain injury detection approach, using 3D filtering technique, for the images acquired by the magnetic resonance imaging (MRI) technique. The proposed meth...
Yu Sun, Bir Bhanu
JFR
2007
94views more  JFR 2007»
13 years 7 months ago
Vision-aided inertial navigation for pin-point landing using observations of mapped landmarks
In this paper we describe an Extended Kalman Filter (EKF) algorithm for estimating the pose and velocity of a spacecraft during Entry, Descent and Landing (EDL). The proposed esti...
Nikolas Trawny, Anastasios I. Mourikis, Stergios I...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 2 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...