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» Algorithms for the Sample Mean of Graphs
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CSDA
2010
118views more  CSDA 2010»
15 years 4 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
CORR
2007
Springer
82views Education» more  CORR 2007»
15 years 4 months ago
Mathematical analysis of the recoil growth algorithm to generate multi-polymer systems
The Recoil Growth algorithm, proposed in 1999 by Consta et al., is one of the most efficient algorithm available in the literature to sample from a multi-polymer system. While the ...
F. Simatos
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
15 years 10 months ago
A Practical Algorithm for Network Topology Inference
— When a network of robots or static sensors is emplaced in an environment, the spatial relationships between the sensing units must be inferred or computed for most key applicat...
Dimitri Marinakis, Gregory Dudek
STOC
2004
ACM
110views Algorithms» more  STOC 2004»
16 years 4 months ago
On sums of independent random variables with unbounded variance, and estimating the average degree in a graph
We prove the following inequality: for every positive integer n and every collection X1, . . . , Xn of nonnegative independent random variables that each has expectation 1, the pr...
Uriel Feige
ICIP
2007
IEEE
16 years 6 months ago
Modeling of Front Evolution with Graph Cut Optimization
In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin