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NIPS
2007
15 years 7 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
TVCG
2008
95views more  TVCG 2008»
15 years 6 months ago
Improving the Readability of Clustered Social Networks using Node Duplication
Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Nathalie Henry, Anastasia Bezerianos, Jean-Daniel ...
CVPR
2004
IEEE
16 years 8 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
CIC
2006
141views Communications» more  CIC 2006»
15 years 7 months ago
Towards the Integration of Reliability and Traffic Engineering
The main goal of this paper is to make a step towards the development of a unified approach that incorporates both reliability and traffic engineering aspects into a common, unifie...
Andras Farago
CDC
2009
IEEE
211views Control Systems» more  CDC 2009»
15 years 10 months ago
An event-triggered distributed primal-dual algorithm for Network Utility maximization
Abstract— Many problems associated with networked systems can be formulated as network utility maximization (NUM) problems. NUM problems maximize a global separable measure of ne...
Pu Wan, Michael D. Lemmon