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KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 7 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
CVPR
2007
IEEE
16 years 8 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...
WEBI
2010
Springer
15 years 4 months ago
MQuery: Fast Graph Query via Semantic Indexing for Mobile Context
Mobile is becoming a ubiquitous platform for context-aware intelligent computing. One fundamental but usually ignored issue is how to efficiently manage (e.g., index and query) the...
Yuan Zhang, Ning Zhang, Jie Tang, Jinghai Rao, Wen...
VIP
2001
15 years 8 months ago
Three-dimensional Medical Image Segmentation Using a Graph-Theoretic Energy-Minimisation Approach
A new graph algorithm for multiscale segmentation of threedimensional medical data sets is presented. It is a threedimensional generalisation of an existing two-dimensional Mumfor...
Brian Parker
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 8 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter