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ECCV
2006
Springer
14 years 9 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang
HYBRID
2009
Springer
14 years 2 months ago
Convergence of Distributed WSN Algorithms: The Wake-Up Scattering Problem
In this paper, we analyze the problem of finding a periodic schedule for the wake-up times of a set of nodes in a Wireless Sensor Network that optimizes the coverage of the region...
Daniele Fontanelli, Luigi Palopoli, Roberto Passer...
SIBGRAPI
2006
IEEE
14 years 1 months ago
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A...
STOC
2009
ACM
238views Algorithms» more  STOC 2009»
14 years 8 months ago
On the convergence of regret minimization dynamics in concave games
We study a general sub-class of concave games, which we call socially concave games. We show that if each player follows any no-external regret minimization procedure then the dyn...
Eyal Even-Dar, Yishay Mansour, Uri Nadav
ICASSP
2008
IEEE
14 years 1 months ago
Distributed average consensus with increased convergence rate
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates