Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
The future mobile and ubiquitous computing world will need new forms of information sharing and collaboration between people. In this paper we present iClouds, an architecture for ...
Andreas Heinemann, Jussi Kangasharju, Fernando Lya...
— We present techniques for analyzing the source code of distributed Java applications, and building finite models of their behaviour. The models are labelled transition systems...
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
In this paper, we describe a technique for representing and displaying high dynamic range image (HDRI) as a texture map in VRML structure. To do this, we designed and implemented e...