We present new candidates for quantum-resistant public-key cryptosystems based on the conjectured difficulty of finding isogenies between supersingular elliptic curves. The main t...
We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
Abstract. In this paper we present a novel approach for the predicative specification of user rights in the context of an object oriented use case driven development process. We e...
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
With increasing complexity of modern embedded systems, the availability of highly optimizing compilers becomes more and more important. At the same time, application specific inst...