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IJPRAI
1998
100views more  IJPRAI 1998»
14 years 9 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
CORR
2011
Springer
206views Education» more  CORR 2011»
14 years 5 months ago
Convergence analysis of a proximal Gauss-Newton method
Abstract An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions. Co...
Saverio Salzo, Silvia Villa
ICRA
2008
IEEE
118views Robotics» more  ICRA 2008»
15 years 4 months ago
HLS parameter estimation for multi-input multi-output systems
Abstract— In order to reduce computational burden of identification methods for multivariable systems, a hierarchical least squares (HLS) algorithm is developed. The basic idea ...
Ping Yuan, Feng Ding, Peter X. Liu
IBPRIA
2003
Springer
15 years 3 months ago
Multiple Segmentation of Moving Objects by Quasi-simultaneous Parametric Motion Estimation
Abstract. This paper presents a new framework for the motion segmentation and estimation task on sequences of two grey images without a priori information of the number of moving r...
Raúl Montoliu, Filiberto Pla
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
14 years 8 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...