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» Algorithms for the Sample Mean of Graphs
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PAMI
2010
133views more  PAMI 2010»
15 years 2 months ago
An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
— Word sense disambiguation (WSD), the task of identifying the intended meanings (senses) of words in context, has been a long-standing research objective for natural language pr...
Roberto Navigli, Mirella Lapata
WEBI
2004
Springer
15 years 9 months ago
Using Semantic Graphs in Clustering Process : Enhance Information Level
In this paper, we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wis...
Jean-Sébastien Brunner, Isabelle Berrien
JDA
2007
97views more  JDA 2007»
15 years 4 months ago
Local solutions for global problems in wireless networks
In this paper, we review a recently developed class of algorithms that solve global problems in unit distance wireless networks by means of local algorithms. A local algorithm is ...
Jorge Urrutia
KAIS
2011
129views more  KAIS 2011»
14 years 11 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
PAMI
2007
176views more  PAMI 2007»
15 years 3 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas