Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
ion Refinement for Quantified Array Assertions Mohamed Nassim Seghir1, , Andreas Podelski1 , and Thomas Wies1,2 1 University of Freiburg, Germany 2 EPFL, Switzerland Abstract. We p...
Mohamed Nassim Seghir, Andreas Podelski, Thomas Wi...
XFI is a comprehensive protection system that offers both flexible access control and fundamental integrity guarantees, at any privilege level and even for legacy code in commodit...
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...