Object-oriented frameworks play an essential role in the implementation of product-line architectures (PLAs) for product families. However, recent case studies reveal that deriving...
Multiple simulation runs using the same simulation model with different values of control parameters usually generate large data sets that capture the variational aspects of the be...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
We present a system for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a priori. The sources are mo...