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SSDBM
2006
IEEE
140views Database» more  SSDBM 2006»
14 years 2 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
13 years 10 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
14 years 2 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
14 years 2 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
13 years 11 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