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» Approximate Discovery of Random Graphs
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ICASSP
2011
IEEE
12 years 11 months ago
Spatially-correlated sensor discriminant analysis
A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
Kush R. Varshney
VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
14 years 8 months ago
A Stimulus-Free Probabilistic Model for Single-Event-Upset Sensitivity
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
Mohammad Gh. Mohammad, Laila Terkawi, Muna Albasma...
UAI
2004
13 years 9 months ago
PAC-learning Bounded Tree-width Graphical Models
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Mukund Narasimhan, Jeff A. Bilmes
EOR
2010
99views more  EOR 2010»
13 years 7 months ago
Min sum clustering with penalties
Traditionally, clustering problems are investigated under the assumption that all objects must be clustered. A shortcoming of this formulation is that a few distant objects, calle...
Refael Hassin, Einat Or
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 4 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu