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» Discovering Large Dense Subgraphs in Massive Graphs
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ICDE
2009
IEEE
145views Database» more  ICDE 2009»
14 years 2 months ago
Context-Aware Object Connection Discovery in Large Graphs
— Given a large graph and a set of objects, the task of object connection discovery is to find a subgraph that retains the best connection between the objects. Object connection...
James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu
SIAMDM
2008
79views more  SIAMDM 2008»
13 years 7 months ago
Testing Triangle-Freeness in General Graphs
In this paper we consider the problem of testing whether a graph is triangle-free, and more generally, whether it is H-free, for a fixed subgraph H. The algorithm should accept gr...
Noga Alon, Tali Kaufman, Michael Krivelevich, Dana...
CVPR
2010
IEEE
13 years 5 months ago
Common visual pattern discovery via spatially coherent correspondences
We investigate how to discover all common visual patterns within two sets of feature points. Common visual patterns generally share similar local features as well as similar spati...
Hairong Liu, Shuicheng Yan
ICPP
2000
IEEE
13 years 12 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
CN
2010
103views more  CN 2010»
13 years 7 months ago
Continuum equilibria and global optimization for routing in dense static ad hoc networks
We consider massively dense ad hoc networks and study their continuum limits as the node density increases and as the graph providing the available routes becomes a continuous area...
Alonso Silva, Eitan Altman, Pierre Bernhard, M&eac...