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ECCV
1994
Springer
13 years 11 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
JUCS
2008
127views more  JUCS 2008»
13 years 7 months ago
A Spiral Model for Adding Automatic, Adaptive Authoring to Adaptive Hypermedia
: At present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or th...
Maurice Hendrix, Alexandra I. Cristea
PERCOM
2009
ACM
14 years 8 months ago
RationalExposure: a Game Theoretic Approach to Optimize Identity Exposure in Pervasive Computing Environments
In pervasive computing environments, personal information is expressed in digital forms to a great extent. Daily activities and personal preferences may be easily associated with p...
Feng Zhu, Wei Zhu
DAGM
2008
Springer
13 years 9 months ago
Learning Visual Compound Models from Parallel Image-Text Datasets
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
ICSE
2009
IEEE-ACM
14 years 8 months ago
Learning operational requirements from goal models
Goal-oriented methods have increasingly been recognised as an effective means for eliciting, elaborating, analysing and specifying software requirements. A key activity in these a...
Alessandra Russo, Dalal Alrajeh, Jeff Kramer, Seba...