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INFORMATICALT
2002
116views more  INFORMATICALT 2002»
15 years 6 months ago
On the Optimization of an Adaptive State Estimation of Dynamic Systems in the Presence of Time-varying Outliers
The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase use...
Rimantas Pupeikis
ICCAD
1999
IEEE
101views Hardware» more  ICCAD 1999»
15 years 11 months ago
Efficient model reduction of interconnect via approximate system gramians
Krylov-subspace based methods for generating low-order models of complicated interconnect are extremely effective, but there is no optimality theory for the resulting models. Alte...
Jing-Rebecca Li, Jacob White
INFORMATICALT
2000
99views more  INFORMATICALT 2000»
15 years 6 months ago
Closed-loop Robust Identification Using the Direct Approach
Abstract. The aim of the given paper is a development of the direct approach used for the estimation of parameters of a closed-loop discrete-time dynamic system in the case of addi...
Rimantas Pupeikis
ACIVS
2009
Springer
16 years 1 months ago
Behavioral State Detection of Newborns Based on Facial Expression Analysis
Abstract. Prematurely born infants are observed at a Neonatal Intensive Care Unit (NICU) for medical treatment. Whereas vital body functions are continuously monitored, their incub...
Lykele Hazelhoff, Jungong Han, Sidarto Bambang-Oet...
ICANN
2009
Springer
15 years 11 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber