Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...
Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, S...
— This paper deals with the orthogonality factor, a transfer coefficient which allows the transformation of a transmitted orthogonal signal into a received Gaussian noise to be ...
The aim of this paper is to provide an analysis of the function of imperatives in dialogue. In particular, the focus is on the use of logically complex imperatives (e.g., `Say hel...
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...
Reasoning about graph and model transformation systems is an important means to underpin model-driven software engineering, such as Model-Driven Architecture (MDA) and Model Integ...