This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. The increasing availability of parallel comp...
We introduce a family of kernels on discrete data structures within the general class of decomposition kernels. A weighted decomposition kernel (WDK) is computed by dividing objec...
The neighborhood information has been frequently used by protocols such as routing in sensor networks. Many methods have been proposed to protect such information in hostile envir...
In this paper we report on the experience of using our concept mapping approach on an agile software project to assess its fitness. Participants used our novel concept mapping app...