Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
With the increasing availability of Web-enabled mobile devices, we are facing the problem to effectively adapt Web content for those devices. For adaptation, Web page structures r...
Robbie Schaefer, Andreas Dangberg, Wolfgang Mü...
Image-based rendering (IBR) has been used to synthesize images corresponding to a new view point from stored images. Rendering methods based on a three-dimensional plenoptic functi...
The query performance for tracing tags depends upon the distribution of tag trajectories in the data space. We examine a more efficient representation of tag trajectories by means ...