Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
—In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...
During many crises, access to sensitive emergency-support information is required to save lives and property. For example, for effective evacuations first responders need the name...
Timothy E. Levin, Jeffrey S. Dwoskin, Ganesha Bhas...
Support for program understanding in development and maintenance tasks can be facilitated by program analysis techniques. Both control-flow and data-flow analysis can support pr...
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...