gn process of embedded systems moves currently towards higher levels of abstraction. As a consequence, a need arises for an early and realistic assessment of system level design d...
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
—In this paper, we propose a quasi-static scheduling (QSS) method applicable to actor-oriented SystemC designs. QSS determines a schedule where several static schedules are combi...
A major challenge faced by a spoken term detection (STD) system is the detection of out-of-vocabulary (OOV) terms. Although a subword-based STD system is able to detect OOV terms,...
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...