Many advanced safety and navigation applications in vehicles require accurate, detailed digital maps, but manual lane measurements are expensive and time-consuming, making automat...
: This paper presents an approach for the automated extraction of process patterns from Event-driven Process Chain (EPC) models in engineering domains. The manually extraction of p...
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
Abstract. We study the complexity of model expansion (MX), which is the problem of expanding a given finite structure with additional relations to produce a finite model of a giv...
Antonina Kolokolova, Yongmei Liu, David G. Mitchel...
—Process Networks (PNs) is an appealing computation ion helping to specify an application in parallel form and realize it on parallel platforms. The key questions to be answered ...