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INFOVIS
2003
IEEE
15 years 5 months ago
A Visual Workspace for Hybrid Multidimensional Scaling Algorithms
In visualising multidimensional data, it is well known that different types of data require different types of algorithms to process them. Data sets might be distinguished accordi...
Greg Ross, Matthew Chalmers
WIOPT
2010
IEEE
14 years 9 months ago
Delay efficient scheduling via redundant constraints in multihop networks
Abstract--We consider the problem of delay-efficient scheduling in general multihop networks. While the class of max-weight type algorithms are known to be throughput optimal for t...
Longbo Huang, Michael J. Neely
PASTE
2010
ACM
15 years 4 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
NN
2000
Springer
152views Neural Networks» more  NN 2000»
14 years 11 months ago
A neural network theory of proportional analogy-making
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
Nilendu G. Jani, Daniel S. Levine
MOBIQUITOUS
2008
IEEE
15 years 6 months ago
Data aggregation in VANETs: the VESPA approach
VESPA (Vehicular Event Sharing with a mobile P2P Architecture) 1 is a system for enabling vehicles to share information in vehicular ad-hoc networks (VANETs). The originality of V...
Bruno Defude, Thierry Delot, Sergio Ilarri, Jos&ea...