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PR
2007
293views more  PR 2007»
15 years 5 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
ATMOS
2010
134views Optimization» more  ATMOS 2010»
15 years 5 months ago
Vertex Disjoint Paths for Dispatching in Railways
We study variants of the vertex disjoint paths problem in planar graphs where paths have to be selected from a given set of paths. We study the problem as a decision, maximization...
Holger Flier, Matús Mihalák, Anita S...
CACM
2008
65views more  CACM 2008»
15 years 5 months ago
Scene completion using millions of photographs
What can you do with a million images? In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm pat...
James Hays, Alexei A. Efros
CORR
2010
Springer
107views Education» more  CORR 2010»
15 years 5 months ago
Maximum Betweenness Centrality: Approximability and Tractable Cases
The Maximum Betweenness Centrality problem (MBC) can be defined as follows. Given a graph find a k-element node set C that maximizes the probability of detecting communication be...
Martin Fink, Joachim Spoerhase
CN
2008
106views more  CN 2008»
15 years 5 months ago
Optimization models and methods for planning wireless mesh networks
In this paper novel optimization models are proposed for planning Wireless Mesh Networks (WMNs), where the objective is to minimize the network installation cost while providing f...
Edoardo Amaldi, Antonio Capone, Matteo Cesana, Ila...