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ECSQARU
2009
Springer
15 years 4 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
79
Voted
PODC
2005
ACM
15 years 3 months ago
Proof labeling schemes
The problem of verifying a Minimum Spanning Tree (MST) was introduced by Tarjan in a sequential setting. Given a graph and a tree that spans it, the algorithm is required to check...
Amos Korman, Shay Kutten, David Peleg
UAI
2003
14 years 11 months ago
On Triangulating Dynamic Graphical Models
This paper introduces improved methodology to triangulate dynamic graphical models and dynamic Bayesian networks (DBNs). In this approach, a standard DBN template can be modified...
Jeff A. Bilmes, Chris Bartels
DIALM
2008
ACM
135views Algorithms» more  DIALM 2008»
14 years 11 months ago
Symmetric range assignment with disjoint MST constraints
If V is a set of n points in the unit square [0, 1]2 , and if R : V + is an assignment of positive real numbers (radii) to to those points, define a graph G(R) as follows: {v, w}...
Eric Schmutz
88
Voted
CVPR
2011
IEEE
14 years 5 months ago
Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
Zhiding Yu, Oscar Au, Ketan Tang