Abstract— Statistical shape modeling is an established technique and is used for a variety of tasks in medical image processing, such as image segmentation and analysis. A challe...
Business System Engineers, responding to changes in the market place, are faced with the challenge of building increasingly complex and varied systems. Formal approaches and model...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
—The main goal of this work is to propose a method to evaluate user interfaces using task models and logs generated from a user test of an application. The method can be incorpor...
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...