— This paper proposes the first automatic approach to simultaneously generate Cycle Accurate and Cycle Count Accurate transaction level bus models. Since TLM (Transaction Level M...
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
We show that we can effectively fit arbitrarily complex animation models to noisy data extracted from ordinary face images Our approach is based on least-squares adjustment, using...
Software architecture, and its behavior can be expressed as UML models. Models of complex systems can be also complex and hard to read – they may consists of hundreds of artifact...