A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
We study the task of object part extraction and labeling, which seeks to understand objects beyond simply identifiying their bounding boxes. We start from bottom-up segmentation of...
erse approaches at all levels of abstraction starting from the physical level up to the system level. Experience shows that a highlevel method may have a larger impact since the de...
Counter Abstraction for Concurrent Software G?erard Basler1 , Michele Mazzucchi1 , Thomas Wahl1,2 , Daniel Kroening1,2 1 Computer Systems Institute, ETH Zurich, Switzerland 2 Compu...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...