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» Parameter Estimation Using Kalman Filters with Constraints
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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 1 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...
ICRA
2005
IEEE
132views Robotics» more  ICRA 2005»
14 years 29 days ago
Handling the Inconsistency of Relative Map Filter
— In [5], a version of Relative Map Filter (RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the RMF, the map states contain only quant...
Viet Nguyen, Agostino Martinelli, Roland Siegwart
ICCV
1998
IEEE
14 years 9 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
IWANN
2001
Springer
13 years 11 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
CAV
2003
Springer
140views Hardware» more  CAV 2003»
14 years 18 days ago
Certifying Optimality of State Estimation Programs
Abstract. The theme of this paper is certifying software for state estimation of dynamic systems, which is an important problem found in spacecraft, aircraft, geophysical, and in m...
Grigore Rosu, Ram Prasad Venkatesan, Jon Whittle, ...