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ESANN
2008
15 years 2 months ago
Computationally Efficient Neural Field Dynamics
We propose a modification of the dynamic neural field model of Amari [1], aiming at reducing the simulation effort by employing spaceand frequency representations of the dynamic st...
Alexander Gepperth, Jannik Fritsch, Christian Goer...
110
Voted
CVPR
2012
IEEE
13 years 3 months ago
Learning sparse covariance patterns for natural scenes
For scene classification, patch-level linear features do not always work as well as handcrafted features. In this paper, we present a new model to greatly improve the usefulness ...
Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David Wip...
66
Voted
ICIP
2008
IEEE
15 years 7 months ago
Feature-aided particle tracking
We present a new feature-aided tracking algorithm dedicated to the task of tracking multiple and closely-spaced biological particles. We propose a new function to score associatio...
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe...
VTC
2008
IEEE
133views Communications» more  VTC 2008»
15 years 7 months ago
Measuring Inhomogeneity in Spatial Distributions
Abstract—The spatial distribution of nodes in wireless networks has important impact on network performance properties, such as capacity and connectivity. Although random sample ...
Udo Schilcher, Michael Gyarmati, Christian Bettste...
96
Voted
ADHOCNOW
2003
Springer
15 years 5 months ago
Topology Control Problems under Symmetric and Asymmetric Power Thresholds
We consider topology control problems where the goal is to assign transmission powers to the nodes of an ad hoc network so as to induce graphs satisfying specific properties. The ...
Sven Oliver Krumke, Rui Liu, Errol L. Lloyd, Madha...