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» On reasoning in networks with qualitative uncertainty
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TVCG
2012
169views Hardware» more  TVCG 2012»
12 years 12 months ago
Visual Reasoning about Social Networks Using Centrality Sensitivity
—In this paper, we study the sensitivity of centrality metrics as a key metric of social networks to support visual reasoning. As centrality represents the prestige or importance...
Carlos D. Correa, Tarik Crnovrsanin, Kwan-Liu Ma
CCE
2007
14 years 9 months ago
Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertainty
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...
Vicente Rico-Ramírez, Sergio Frausto-Hern&a...
IJCAI
2007
14 years 10 months ago
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...
TIME
2005
IEEE
15 years 3 months ago
Exploiting the Relationship between IA Networks and Finite Domain CSPs
We exploit the fact that qualitative Interval Algebra (IA) network problems are finite domain CSPs. In the first part of the paper, we show how to convert a qualitative IA network ...
André Trudel, Haiyi Zhang
EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
A toward Framework for Generic Uncertainty Management
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
Ernesto Damiani, Paolo Ceravolo, Marcello Leida