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» State Estimation With Initial State Uncertainty
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NIPS
1998
13 years 9 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
EPEW
2010
Springer
13 years 7 months ago
Accurate Performance Estimation for Stochastic Marked Graphs by Bottleneck Regrowing
Abstract. The adequate system performance is usually a critical requirement to be checked during the verification phase of a system. Thus, accurately measuring the performance of c...
Ricardo J. Rodríguez, Jorge Júlvez
ICC
2007
IEEE
143views Communications» more  ICC 2007»
14 years 1 months ago
An Improved Joint M-Algorithm for Single Antenna Interference Cancellation in TDMA Mobile Radio
— We target M-ary data sequence estimation over time-variant frequency selective fading channels subject to cochannel interference (CCI). A novel joint reduced state sequence est...
Thorben Detert, Romain Drauge
ICASSP
2009
IEEE
14 years 2 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
14 years 2 months ago
Heart surface motion estimation framework for robotic surgery employing meshless methods
Abstract— A novel heart surface motion estimation framework for a robotic surgery on a stabilized beating heart is proposed. It includes an approach for the reconstruction and pr...
Evgeniya Bogatyrenko, Uwe D. Hanebeck, Gábo...