Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Abstract. Interest in role-based access control has generated considerable research activity in recent years. A number of interesting problems related to the well known set cover p...
It is common “beat programming” practice to construct rhythmic sequences in a one-sample-per-instrument manner. Sounds of separate strokes on a drum, however, generally are not...
Abstract. This paper exposes a novel formulation of prior shape constraint incorporation for the level set segmentation of objects from corrupted images. Applicable to variational ...