Article history: Received 14 August 2008 Available online 25 February 2009 Submitted by H. Frankowska

This paper introduces IQPs (Integer Quadratic Programs) as a way to model joint inference for the task of concept recognition in clinical domain. IQPs make it possible to easily incorporate soft constraints in the optimization framework and still support exact global inference. We show that soft constraints give statistically significant performance improvements when compared to hard constraints.

Comments from the Editors Jennifer Erway & Stefan M. Wild . . . . . . . . . . . . . . . . . . . . . 1 Article PDE-Constrained Optimization under Uncertainty Drew P. Kouri and Thomas M. Surowiec . . . . . . . . . . . . . . . 1 Bulletin Event Announcements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Book Announcements . . . . . . . . . . . . . . . . . . . . . . . . . ....

II The UK higher education sector creates far-reaching benefits for the public, private individuals and businesses, and is funded by a mix of public and private investment. Within this funding model, there are a number of possible sources of increased investment for universities. However, while it is important to explore all options, this document shows that public funding is constrained, while...

This paper presents an algorithm and a software application for matching complex scenes in consumer image collections. By applying appropriate constraints to detected keypoint matches between a target and reference image, complex scenes from users’ collections can be matched with very good precision. Experimental results confirm the effectiveness of this approach. The method can be further enha...

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