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    ICCV
    2007
    IEEE
    145views Computer Vision» more  ICCV 2007»
    Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series
    14 years 9 months ago
    Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series
    Download  www.cs.bu.edu
    Rui Li, Tai-Peng Tian, Stan Sclaroff
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    ICANN
    2009
    Springer
    123views Neural Networks» more  ICANN 2009»
    An EM Based Training Algorithm for Recurrent Neural Networks
    13 years 12 months ago
    An EM Based Training Algorithm for Recurrent Neural Networks
    Download  www.idsia.ch
    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
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    CVPR
    2007
    IEEE
    258views Computer Vision» more  CVPR 2007»
    Nonlinear Dynamical Shape Priors for Level Set Segmentation
    14 years 9 months ago
    Nonlinear Dynamical Shape Priors for Level Set Segmentation
    Download  www-cvpr.iai.uni-bonn.de
    Daniel Cremers
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    EAAI
    2008
    128views more  EAAI 2008»
    Dual heuristic programming based nonlinear optimal control for a synchronous generator
    13 years 7 months ago
    Dual heuristic programming based nonlinear optimal control for a synchronous generator
    Download  web.mst.edu
    This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
    Jung-Wook Park, Ronald G. Harley, Ganesh K. Venaya...
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    CDC
    2008
    IEEE
    109views Control Systems» more  CDC 2008»
    Sensitivity analysis and computational uncertainty with applications to control of nonlinear parabolic partial differential equa
    14 years 1 months ago
    Sensitivity analysis and computational uncertainty with applications to control of nonlinear parabolic partial differential equa
    Download  www.math.vt.edu
    — In this paper we illustrate how sensitivities can be used to provide a practical precursor to dynamic transitions and numerical uncertainty in parameterized nonlinear parabolic...
    John A. Burns, Lisa G. Davis
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