"Can computers meaningfully process human language? If this is difficult, why? If this is possible, how? This book introduces the reader to the fascinating science of computat...
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
During this talk, I will introduce a novel family of contextual measures of similarity between distributions: the similarity between two distributions q and p is measured in the co...
Florent Perronnin (Xerox Research Centre Europe), ...
Deblurring images of moving objects captured from a traditional camera is an ill-posed problem due to the loss of high spatial frequencies in the captured images. Recent techniques...
We consider the problem of single image object motion deblurring from a static camera. It is well known that deblurring of moving objects using a traditional camera is ill-posed, d...