Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
In dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), segmentation of internal kidney structures like cortex, medulla and pelvo-caliceal cavities is necessary for fun...
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
Due to the requirements of open service markets, the structure of networks and application systems is changing. To handle the evolving complex distributed systems, new concepts for...