We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
This paper is focused on the performance analysis, comparison and optimization of the most important distributed object models for Java: RMI (Remote Method Invocation) and RMI-IIO...
Matjaz B. Juric, Ivan Rozman, Alan P. Stevens, Mar...
We examine condition numbers, preconditioners, and iterative methods for finite element discretizations of coercive PDEs in the context of the fundamental solvability result, the L...
Vision-based road detection is important in different areas of
computer vision such as autonomous driving, car collision warning
and pedestrian crossing detection. However, curre...
Abstract—A multicast flow control framework for data traffic traversing both a wired and wireless network is proposed. Markov-modulated fluid (MMF) models are used for the rec...