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    IJON
    2007
    120views more  IJON 2007»
    Comparison of dynamical states of random networks with human EEG
    13 years 9 months ago
    Comparison of dynamical states of random networks with human EEG
    Download  material.brainworks.uni-freiburg.de
    Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
    Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
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    TALG
    2008
    131views more  TALG 2008»
    Kinetic and dynamic data structures for closest pair and all nearest neighbors
    13 years 9 months ago
    Kinetic and dynamic data structures for closest pair and all nearest neighbors
    Download  www.math.tau.ac.il
    We present simple, fully dynamic and kinetic data structures, which are variants of a dynamic two-dimensional range tree, for maintaining the closest pair and all nearest neighbors...
    Pankaj K. Agarwal, Haim Kaplan, Micha Sharir
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    SIAMCOMP
    2002
    138views more  SIAMCOMP 2002»
    Phase Change of Limit Laws in the Quicksort Recurrence under Varying Toll Functions
    13 years 8 months ago
    Phase Change of Limit Laws in the Quicksort Recurrence under Varying Toll Functions
    Download  www.math.uni-frankfurt.de
    We characterize all limit laws of the quicksort type random variables defined recursively by Xn d = XIn + X n-1-In + Tn when the "toll function" Tn varies and satisfies ...
    Hsien-Kuei Hwang, Ralph Neininger
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    CVPR
    2009
    IEEE
    458views Computer Vision» more  CVPR 2009»
    Shape Analysis with Conformal Invariants for Multiply Connected Domains and its Application to Analyzing Brain Morphology
    15 years 4 months ago
    Shape Analysis with Conformal Invariants for Multiply Connected Domains and its Application to Analyzing Brain Morphology
    Download  www.math.ucla.edu
    All surfaces can be classified by the conformal equivalence relation. Conformal invariants, which are shape indices that can be defined intrinsically on a surface, may be used t...
    Paul M. Thompson, Tony F. Chan, Xianfeng Gu, Yalin...
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    CVPR
    2006
    IEEE
    230views Computer Vision» more  CVPR 2006»
    Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
    14 years 11 months ago
    Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
    Download  research.microsoft.com
    Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
    Nebojsa Jojic, John M. Winn, Larry Zitnick
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