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GBRPR
2007
Springer
14 years 3 months ago
Graph-Based Methods for Retinal Mosaicing and Vascular Characterization
In this paper, we propose a highly robust point-matching method (Graph Transformation Matching - GTM) relying on finding the consensus graph emerging from putative matches. Such m...
Wendy Aguilar, M. Elena Martínez-Pér...
SIGMOD
2010
ACM
239views Database» more  SIGMOD 2010»
14 years 2 months ago
Computing label-constraint reachability in graph databases
Our world today is generating huge amounts of graph data such as social networks, biological networks, and the semantic web. Many of these real-world graphs are edge-labeled graph...
Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yan...
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 10 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang
JGT
2008
59views more  JGT 2008»
13 years 9 months ago
Pebbling and optimal pebbling in graphs
Given a distribution of pebbles on the vertices of a graph G, a pebbling move takes two pebbles from one vertex and puts one on a neighboring vertex. The pebbling number (G) is th...
David P. Bunde, Erin W. Chambers, Daniel W. Cranst...
CVPR
2007
IEEE
14 years 11 months ago
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...