Most recent research on querying and managing data streams has concentrated on traditional data models where the data come in the form of tuples or XML data. Complex types of strea...
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Autostereoscopic displays are a subject of recent research efforts in Computer Graphics. Such displays have to be fed graphics information in order to produce spatial images. This...
We present a data embedding method for image communication applications. Our goal is to implement novel multimedia applications such as multi-language captions, interactive progra...
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...