CORDIS Project
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This project focuses on developing advanced algorithms for inference in graphical models, particularly for MAP estimation. It aims to improve techniques used in computer vision and sequence tagging, with applications in areas like protein structure prediction.
This proposal aims at developing new inference algorithms for graphical models with discrete variables, with a focus on the MAP estimation task. MAP estimation algorithms such as graph cuts have transformed computer vision in the last decade; they are now routinely used and are also utilized in commercial systems.Topics of this project fall into 3 categories.Theoretically-oriented:
Graph cut techniques come from combinatorial optimization.
They can minimize a certain class of functions, namely s…
INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA
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