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SBIA
2010
Springer
15 years 4 months ago
High-Level Modeling of Component-Based CSPs
Most of modern constraint modeling languages combine rich constraint languages with mathematical notations to tackle combinatorial optimization problems. Our purpose is to introduc...
Raphaël Chenouard, Laurent Granvilliers, Rica...
ECCV
2000
Springer
16 years 8 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
ICML
2000
IEEE
16 years 7 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
CAISE
2009
Springer
16 years 1 months ago
Enterprise Meta Modeling Methods - Combining a Stakeholder-Oriented and a Causality-Based Approach
Meta models are the core of enterprise architecture, but still few methods are available for the creation of meta models tailored for specific purposes. This paper presents two app...
Robert Lagerström, Jan Saat, Ulrik Franke, St...
ACSC
2006
IEEE
16 years 17 days ago
Segregated failures model for availability evaluation of fault-tolerant systems
This paper presents a method of estimating the availability of fault-tolerant computer systems with several recovery procedures. A segregated failures model has been proposed rece...
Sergiy A. Vilkomir, David Lorge Parnas, Veena B. M...