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» Approximating Component Selection
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UAI
1998
15 years 4 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
160
Voted
HICSS
2008
IEEE
153views Biometrics» more  HICSS 2008»
15 years 3 months ago
Fault-Tolerant k-Fold Pivot Routing in Wireless Sensor Networks
Selecting a small set of nodes called pivots, from all the nodes in a network and maintaining the routing infrastructure to and among each other can reduce routing overhead and ex...
Doina Bein
CORR
2008
Springer
151views Education» more  CORR 2008»
15 years 3 months ago
Geometric Set Cover and Hitting Sets for Polytopes in $R^3$
Suppose we are given a finite set of points P in R3 and a collection of polytopes T that are all translates of the same polytope T. We consider two problems in this paper. The firs...
Sören Laue
TIP
2008
163views more  TIP 2008»
15 years 3 months ago
Multiresolution Bilateral Filtering for Image Denoising
The bilateral filter is a nonlinear filter that does spatial averaging without smoothing edges; it has shown to be an effective image denoising technique. An important issue with t...
Ming Zhang, Bahadir K. Gunturk
106
Voted
TSP
2008
102views more  TSP 2008»
15 years 3 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny