Abstract Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically base...
Abstract We revisit the classical QuickSort and QuickSelect algorithms, under a complexity model that fully takes into account the elementary comparisons between symbols composing ...
We model on-line ink traces for a set of 219 symbols to “best fit” low-degree polynomial series. Using a collection of mathematical writing samples, we find that in many cas...
An algorithm is presented that automatically generates groundtruthed video from a symbolic description for an object and a specification for the movement of a handheld video camer...
Maximum Likelihood estimation theory can be used to develop optimal timing recovery schemes for digital communication systems. Tunable digital interpolation filters are commonly ...