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ICML
2005
IEEE
16 years 7 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
SAMOS
2007
Springer
16 years 16 days ago
Towards Multi-application Workload Modeling in Sesame for System-Level Design Space Exploration
The Sesame modeling and simulation framework aims at early and thus efficient system-level design space exploration of embedded multimedia system architectures. So far, Sesame onl...
Mark Thompson, Andy D. Pimentel
MICCAI
2007
Springer
16 years 7 months ago
Adaptive Metamorphs Model for 3D Medical Image Segmentation
Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model de...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
AOSE
2007
Springer
15 years 10 months ago
Refining Goal Models by Evaluating System Behaviour
Abstract. Nowadays, information systems have to perform in complex, heterogeneous environments, considering a variety of system users with different needs and preferences. Software...
Mirko Morandini, Loris Penserini, Anna Perini, Ang...
ECTEL
2006
Springer
15 years 10 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon