This work presents a new approach to contour representation and coding. It consists of an improved fitting of high-degree (4th to 18th ) implicit polynomials (IPs) to the contour,...
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
Fault and adversary tolerance have become not only desirable but required properties of software systems because mission-critical systems are commonly distributed on large network...
This paper hierarchically constructs a hybrid mesh/tree clock network structure consisting of overlying zero-skew clock meshes, with underlying zero-skew clock trees originating f...