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» Random Spanning Trees and the Prediction of Weighted Graphs
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COMBINATORICS
2000
112views more  COMBINATORICS 2000»
14 years 11 months ago
A Note on Random Minimum Length Spanning Trees
Consider a connected r-regular n-vertex graph G with random independent edge lengths, each uniformly distributed on [0, 1]. Let mst(G) be the expected length of a minimum spanning...
Alan M. Frieze, Miklós Ruszinkó, Lub...
STOC
2004
ACM
122views Algorithms» more  STOC 2004»
15 years 12 months ago
Estimating the weight of metric minimum spanning trees in sublinear-time
In this paper we present a sublinear time (1+ )-approximation randomized algorithm to estimate the weight of the minimum spanning tree of an n-point metric space. The running time...
Artur Czumaj, Christian Sohler
ESA
2000
Springer
110views Algorithms» more  ESA 2000»
15 years 3 months ago
Maintaining a Minimum Spanning Tree Under Transient Node Failures
Given a 2-node connected, undirected graph G = (V, E), with n nodes and m edges with real weights, and given a minimum spanning tree (MST) T = (V, ET ) of G, we study the problem o...
Enrico Nardelli, Guido Proietti, Peter Widmayer
ICCV
2009
IEEE
1714views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Power watersheds: a new image segmentation framework extending graph cuts, random walker and optimal spanning forest
In this work, we extend a common framework for seeded image segmentation that includes the graph cuts, ran- dom walker, and shortest path optimization algorithms. Viewing an ima...
Camille Couprie, Leo Grady, Laurent Najman, Hugues...
DEXA
2010
Springer
182views Database» more  DEXA 2010»
14 years 11 months ago
Minimum Spanning Tree on Spatio-Temporal Networks
Given a spatio-temporal network (ST network) whose edge properties vary with time, a time-sub-interval minimum spanning tree (TSMST) is a collection of distinct minimum spanning t...
Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacha...