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SSDBM
2006
IEEE
140views Database» more  SSDBM 2006»
15 years 11 months ago
A Dynamic Mobility Histogram Construction Method Based on Markov Chains
With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-ti...
Yoshiharu Ishikawa, Yoji Machida, Hiroyuki Kitagaw...
UAI
2008
15 years 6 months ago
Sensitivity analysis for finite Markov chains in discrete time
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering a...
Gert De Cooman, Filip Hermans, Erik Quaeghebeur
QEST
2006
IEEE
15 years 11 months ago
Limiting Behavior of Markov Chains with Eager Attractors
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
Parosh Aziz Abdulla, Noomene Ben Henda, Richard Ma...
IEEEARES
2007
IEEE
15 years 11 months ago
Reliability Markov Chains for Security Data Transmitter Analysis
Security communication systems composed of highly reliable components may have few if any failures while undergoing heavy testing or field-usage. This paper combines (i) analysis ...
Calin Ciufudean, Bianca Satco, Constantin Filote
BMVC
2001
15 years 7 months ago
Graph Matching using Adjacency Matrix Markov Chains
This paper describes a spectral method for graph-matching. We adopt a graphical models viewpoint in which the graph adjacency matrix is taken to represent the transition probabili...
Antonio Robles-Kelly, Edwin R. Hancock