The paper presents various transparency issues that have to be considered during development of object-oriented Grid applications based on virtual repositories. Higher-level transp...
Krzysztof Kaczmarski, Piotr Habela, Hanna Kozankie...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Abstract. Object localization and tracking are key issues in the analysis of scenes for video surveillance or scene understanding applications. This paper presents a contribution t...
A new learning algorithmis derived which performs online stochastic gradient ascent in the mutual informationbetween outputs and inputs of a network. In the absence of a priori kn...
When blind people wish to walk through an area not fully known to them, they have to prepare themselves even more thoroughly than sighted pedestrians. We propose a new approach to...