We introduce a convex relaxation approach for the quadratic assignment problem to the field of computer vision. Due to convexity, a favourable property of this approach is the ab...
Christian Schellewald, Stefan Roth, Christoph Schn...
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
We consider a generalisation of Larsen and Skou’s [19] reactive probabilistic transition systems which exhibit three kinds of choice: action-guarded probabilistic choice, extern...
—We study broadcasting on multiple access channels by deterministic distributed protocols. Data arrivals are governed by an adversary. The power of the adversary is constrained b...
Lakshmi Anantharamu, Bogdan S. Chlebus, Dariusz R....
Abstract. In Linked Data, the use of owl:sameAs is ubiquitous in interlinking data-sets. There is however, ongoing discussion about its use, and potential misuse, particularly with...
Harry Halpin, Patrick J. Hayes, James P. McCusker,...