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    » Using Neural Nets to Estimate Evolutionary Parameters
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    MICCAI
    2004
    Springer
    253views Medical Imaging» more  MICCAI 2004»
    Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
    14 years 9 months ago
    Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
    Download  www.cvip.uofl.edu
    Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
    Aly A. Farag, Hossam S. Hassan
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    CCECE
    2006
    IEEE
    206views Electrical And Computer Engi...» more  CCECE 2006»
    Adaptive Bilateral Control using Operator Elbow Impedance
    14 years 2 months ago
    Adaptive Bilateral Control using Operator Elbow Impedance
    Download  post.queensu.ca
    — Human arm dynamics can be used for control of human-machine interfaces in haptic applications. In this paper, a novel method for online estimation of human operator elbow imped...
    Farid Mobasser, Keyvan Hashtrudi-Zaad
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    WSC
    2000
    177views Modeling And Simulation» more  WSC 2000»
    Model abstraction for discrete event systems using neural networks and sensitivity information
    13 years 9 months ago
    Model abstraction for discrete event systems using neural networks and sensitivity information
    Download  www.informs-sim.org
    STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
    Christos G. Panayiotou, Christos G. Cassandras, We...
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    NIPS
    2003
    139views Information Technology» more  NIPS 2003»
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    13 years 9 months ago
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    Download  pillowlab.cps.utexas.edu
    Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
    Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
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    IJON
    2007
    91views more  IJON 2007»
    Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
    13 years 8 months ago
    Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
    Download  www.mpipks-dresden.mpg.de
    We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
    E. Olbrich, Thomas Wennekers
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