In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
In black-box testing, one is interested in creating a suite of tests from requirements that adequately exercise the behavior of a software system without regard to the internal st...
Michael W. Whalen, Ajitha Rajan, Mats Per Erik Hei...
- Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for...
—This paper presents an implementation of a simplified filtering estimator for satellite attitude determination using GPS (Global Positioning System) signals. The non-linear syst...
The article deals with problems of testing implementations of mathematical functions working with floating-point numbers. It considers current standards' requirements to such ...