The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
: In this paper, we propose a fundamental idea of a new CAD architecture to facilitate design knowledge management. This architecture is useful to develop an advanced design suppor...
This paper proposes a theoretical framework for verifying and deriving code optimizations for programs written in parallel programming languages. The key idea of this framework is...
In this work, we propose an original method of resolution of the shape from shading problem, which is accurate and converges with a few iterations. It relies on two simple ideas. ...
By its very nature DSP is a mathematically heavy topic and to fully understand it students need to understand the mathematical developments underlying DSP topics. However, relying...