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ICDAR
2009
IEEE
16 years 1 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
ETFA
2008
IEEE
16 years 1 months ago
Reactivity analysis of different Networked Automation System architectures
The reactivity of Networked Automation Systems (NAS) has direct influence on safety and quality aspects. It can be determined by a response time analysis, which itself can be calc...
Jürgen Greifeneder, Georg Frey
IEEEARES
2007
IEEE
16 years 1 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
209
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EMSOFT
2005
Springer
16 years 11 days ago
Model-based analysis of distributed real-time embedded system composition
Key challenges in distributed real-time embedded (DRE) system developments include safe composition of system components and mapping the functional specifications onto the target...
Gabor Madl, Sherif Abdelwahed
CVPR
2000
IEEE
15 years 11 months ago
Error Analysis of Background Adaption
Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction t...
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visva...