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» Distributed Information Regularization on Graphs
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147
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MICCAI
2009
Springer
15 years 9 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
118
Voted
SODA
2010
ACM
201views Algorithms» more  SODA 2010»
16 years 4 days ago
Efficient Broadcast on Random Geometric Graphs
A Random Geometric Graph (RGG) in two dimensions is constructed by distributing n nodes independently and uniformly at random in [0, n ]2 and creating edges between every pair of...
Milan Bradonji, Robert Elsässer, Tobias Friedrich...
ICPP
2000
IEEE
15 years 7 months ago
A Fault-Tolerant Adaptive and Minimal Routing Approach in n-D Meshes
In this paper a sufficient condition is given for minimal routing in n-dimensional (n-D) meshes with faulty nodes contained in a set of disjoint fault regions. It is based on an ...
Jie Wu
123
Voted
IPSN
2005
Springer
15 years 8 months ago
Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...
Jen-Yeu Chen, Gopal Pandurangan, Dongyan Xu
141
Voted
IPSN
2005
Springer
15 years 8 months ago
A scheme for robust distributed sensor fusion based on average consensus
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
Lin Xiao, Stephen P. Boyd, Sanjay Lall