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» Network Probabilistic Connectivity: Optimal Structures
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86
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ACCV
2010
Springer
14 years 4 months ago
Network Connectivity via Inference over Curvature-Regularizing Line Graphs
Abstract. Diffusion Tensor Imaging (DTI) provides estimates of local directional information regarding paths of white matter tracts in the human brain. An important problem in DTI ...
Maxwell D. Collins, Vikas Singh, Andrew L. Alexand...
84
Voted
CEC
2009
IEEE
15 years 1 months ago
Towards connectivity improvement in VANETs using bypass links
VANETs are ad hoc networks in which devices are vehicles moving at high speeds. This kind of network is getting more and more importance since it has many practical and important a...
Bernabé Dorronsoro Díaz, Patricia Ru...
78
Voted
IJAR
2006
89views more  IJAR 2006»
14 years 9 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
73
Voted
ISPD
2004
ACM
150views Hardware» more  ISPD 2004»
15 years 3 months ago
Topology optimization of structured power/ground networks
This paper presents an efficient method for optimizing the design of power/ground (P/G) networks by using locally regular, globally irregular grids. The procedure divides the pow...
Jaskirat Singh, Sachin S. Sapatnekar
72
Voted
AAAI
2008
14 years 12 months ago
Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance
We explore the relationship between properties of the network defined by connected agents and the global system performance. This is achieved by means of a novel class of optimiza...
Ricardo M. Araujo, Luís C. Lamb