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» Structured Objects: Modeling and Reasoning
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CVPR
2008
IEEE
14 years 8 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
AUSAI
2005
Springer
14 years 7 days ago
Structure-Based Algorithms for Computing Preferred Arguments of Defeasible Knowledge Bases
In this paper we present several efficient computational procedures for defeasible reasoning while the plausible and well-defined semantics, viz. preferred models and stable mode...
Quoc Bao Vo
EDBTW
2006
Springer
13 years 10 months ago
Unsatisfiability Reasoning in ORM Conceptual Schemes
ORM (Object-Role Modeling) is a rich and well-known conceptual modeling method. As ORM has a formal semantics, reasoning tasks such as satisfiability checking of an ORM schema natu...
Mustafa Jarrar, Stijn Heymans
LICS
1999
IEEE
13 years 11 months ago
Plausibility Measures and Default Reasoning: An Overview
We introduce a new approach to modeling uncertainty based on plausibility measures. This approach is easily seen to generalize other approaches to modeling uncertainty, such as pr...
Joseph Y. Halpern, Nir Friedman
QUACON
2009
Springer
14 years 1 months ago
A Context Quality Model to Support Transparent Reasoning with Uncertain Context
Much research on context quality in context-aware systems divides into two strands: (1) the qualitative identication of quality measures and (2) the use of uncertain reasoning tec...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon Dobso...