A key ingredient in the design of visual object classification
systems is the identification of relevant class specific
aspects while being robust to intra-class variations. Whil...
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
A binary decoder is a common component of software development tools such as instruction set simulators, disassemblers and debuggers. The efficiency of the decoder can have a sign...
CT-angiography is a well established medical imaging technique for the detection, evaluation and therapy planning of intracranial aneurysms. Different 3D visualization algorithms s...
Sabine Iserhardt-Bauer, Peter Hastreiter, Bernd To...
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...