1–6 von 6 Ergebnissen
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    Function Approximation Through Growing Neural Network Based On RBF And Potential Functions

    Valova, Iren / Gueorguieva, Natacha / Georgiev, George | IEEE | 2007
    This research work proposes a neural network based on RBFs with symmetrical potential functions and two fundamental components - potential ...

    Exploring high-D spaces with multiform matrices and small multiples

    MacEachren, A. / Xiping, D. / Hardisty, F. et al. | IEEE | 2003
    multiples and scatterplot matrices in three fundamental ways. First, we develop a general, multiform, bivariate matrix and a complementary multiform ...

    Joint pilot power adjustment and base station assignment for data traffic in cellular CDMA networks

    Shabany, M. / Navaie, K. | IEEE | 2004
    utilizing the network resources in more efficient way. First, to manage fundamental coverage-capacity tradeoff for the downlink, we propose the ...

    An experimental study of a robust self-calibration method for a single camera

    Pessel, N. / Opderbecke, J. / Aldon, M.-J. | IEEE | 2003
    image sequence and exploits successive views in order to estimate the fundamental matrix and finally the intrinsic parameters of the camera. In ...

    Nonlinear identifiability: an algebraic approach

    Asmi, S.E. | IEEE | 2003
    linear and nonlinear channel is given. This definition clarifies the fundamental link between the problem of observability of input-output system ...

    Predictive image compression for interactive remote visualization

    Cortelazzo, G.M. / Zanuttigh, P. | IEEE | 2003
    is a fundamental issue within this remote visualization scenario. This work presents a predictive compression scheme for remote visualization ...