Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
When executing different real-time applications on a single processor system, one problem is how to compose these applications and guarantee at the same time that their timing req...
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Novel test bench techniques are required to cope with a functional test complexity which is predicted to grow much more strongly than design complexity. Our test bench approach at...