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» Large graph processing in the cloud
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CG
2004
Springer
14 years 9 months ago
Hierarchical graph maps
nd maps are powerful abstractions. Their combination, Hierarchical Graph Maps, provide effective tools to process a graph that is too large to fit on the screen. They provide hier...
James Abello
SAC
2005
ACM
15 years 3 months ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk
109
Voted
CVPR
2003
IEEE
15 years 11 months ago
Automated Feature-Based Range Registration of Urban Scenes of Large Scale
We are building a system that can automatically acquire 3D range scans and 2D images to build geometrically and photometrically correct 3D models of urban environments. A major bo...
Ioannis Stamos, Marius Leordeanu
81
Voted
GI
2010
Springer
14 years 8 months ago
Ontology-based Registration of Entities for Data Integration in Large Biomedical Research Projects
Abstract: Large biomedical projects often include workflows running across institutional borders. In these workflows, data describing biomedical entities, such as patients, bio-m...
Toralf Kirsten, Alexander Kiel
IWPC
2000
IEEE
15 years 2 months ago
The Effect of Call Graph Construction Algorithms for Object-Oriented Programs on Automatic Clustering
Call graphs are commonly used as input for automatic clustering algorithms, the goal of which is to extract the high level structure of the program under study. Determining the ca...
Derek Rayside, Steve Reuss, Erik Hedges, Kostas Ko...