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» Measuring the Similarity of Geometric Graphs
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COMPGEOM
2003
ACM
14 years 24 days ago
Finding a curve in a map
Given a polygonal curve and a geometric graph, we describe an efficient algorithm to find a path in the graph which is most similar to the curve, using the well-known Fr´echet d...
Carola Wenk, Helmut Alt, Alon Efrat, Lingeshwaran ...
EDBT
2011
ACM
197views Database» more  EDBT 2011»
12 years 11 months ago
Symmetrizations for clustering directed graphs
Graph clustering has generally concerned itself with clustering undirected graphs; however the graphs from a number of important domains are essentially directed, e.g. networks of...
Venu Satuluri, Srinivasan Parthasarathy
KIVS
2005
Springer
14 years 1 months ago
A Case for Lightweight SuperPeer Topologies
: The usage of SuperPeers has been proposed to improve the performance of both Structured and Unstructured Peer-to-Peer (P2P) networks. In this paper we explore a network-aware cla...
Michael Kleis, Eng Keong Lua, Xiaoming Zhou
PPL
2000
110views more  PPL 2000»
13 years 7 months ago
Faulty Random Geometric Networks
In this paper we analyze the computational power of random geometric networks in the presence of random (edge or node) faults considering several important network parameters. We ...
Josep Díaz, Jordi Petit, Maria J. Serna
GBRPR
2007
Springer
14 years 1 months ago
Bipartite Graph Matching for Computing the Edit Distance of Graphs
In the field of structural pattern recognition graphs constitute a very common and powerful way of representing patterns. In contrast to string representations, graphs allow us to ...
Kaspar Riesen, Michel Neuhaus, Horst Bunke