In this paper we analyze the computational power of random geometric networks in the presence of random (edge or node) faults considering several important network parameters. We ...
We describe methods for displaying complex, texturemapped environments with four or more spatial dimensions that allow for real-time interaction. At any one moment in time, a thre...
Michael D'Zmura, Philippe Colantoni, Gregory Seyra...
A between-group experiment was carried out to assess whether two different presence questionnaires can distinguish between real and virtual experiences. One group of 10 subjects s...
Martin Usoh, Ernest Catena, Sima Arman, Mel Slater
We have developed a novel system for content-based image retrieval in large, unannotated databases. The system is called PicSOM, and it is based on tree structured self-organizing...
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkk...
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...