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» Large graph processing in the cloud
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EMNLP
2011
13 years 9 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
76
Voted
ICC
2008
IEEE
127views Communications» more  ICC 2008»
15 years 4 months ago
On the Devolution of Large-Scale Sensor Networks in the Presence of Random Failures
—In battery-constrained large-scale sensor networks, nodes are prone to random failures due to various reasons, such as energy depletion and hostile environment. Random failures ...
Fei Xing, Wenye Wang
ICIP
2010
IEEE
14 years 7 months ago
Reducing graphs in graph cut segmentation
In few years, graph cuts have become a leading method for solving a wide range of problems in computer vision. However, graph cuts involve the construction of huge graphs which so...
Nicolas Lerme, François Malgouyres, Lucas L...
GIS
2007
ACM
15 years 10 months ago
Proximity queries in large traffic networks
In this paper, we present an original network graph embedding to speed-up distance-range and k-nearest neighbor queries in (weighted) graphs. Our approach implements the paradigm ...
Hans-Peter Kriegel, Matthias Renz, Peer Kröge...
3DIM
2007
IEEE
15 years 4 months ago
Generalized MPU Implicits Using Belief Propagation
In this paper, we present a new algorithm to reconstruct 3D surfaces from an unorganized point cloud based on generalizing the MPU implicit algorithm through introducing a powerfu...
Yi-Ling Chen, Shang-Hong Lai, Tung-Ying Lee