Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Healthcare is a data-rich but information-poor domain. Terabytes of multimedia medical data are being generated on a monthly basis in a typical healthcare organization in order to...
Shahram Ebadollahi, Anni Coden, Michael A. Tanenbl...
We present a novel visual creativity tool that automatically recognizes facial expressions and tracks facial muscle movements in real time to produce sounds. The facial expression...
Personalization has been deemed one of the major challenges in information retrieval with a significant potential for providing better search experience to individual users. Espec...
Julia Luxenburger, Shady Elbassuoni, Gerhard Weiku...