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FOCS
1994
IEEE
13 years 10 months ago
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
Michael A. Bender, Donna K. Slonim
COMBINATORICS
2006
169views more  COMBINATORICS 2006»
13 years 5 months ago
The Diameter and Laplacian Eigenvalues of Directed Graphs
For undirected graphs it has been known for some time that one can bound the diameter using the eigenvalues. In this note we give a similar result for the diameter of strongly con...
Fan R. K. Chung
VTC
2006
IEEE
121views Communications» more  VTC 2006»
13 years 11 months ago
Location-Dependent Parameterization of a Random Direction Mobility Model
— Mobility models are widely used in simulation-based performance analyses of mobile networks. However, there is a trade-off between simplicity and realistic movement patterns. S...
Bernd Gloss, Michael Scharf, Daniel Neubauer
ACCV
2009
Springer
14 years 12 days ago
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
INFOCOM
2010
IEEE
13 years 4 months ago
Random Walks on Digraphs: A Theoretical Framework for Estimating Transmission Costs in Wireless Routing
—In this paper we develop a unified theoretical framework for estimating various transmission costs of packet forwarding in wireless networks. Our framework can be applied to th...
Yanhua Li, Zhi-Li Zhang