We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
A class of generic models of protocells is introduced, which are inspired by the “Los Alamos bug” is but which, due to their abstraction level, can be applied to a wider set o...
Background: Determination and quantification of nucleic acid components in a mixture is usually accomplished by microarray approaches, where the mixtures are hybridized against sp...
Alexander E. Pozhitkov, Kathryn Stemshorn, Diethar...
Programmes in “Software Engineering” have become a source of contention in many universities. Computer Science departments, many of which have used that phrase to describe ind...
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...