— This paper addresses the problem of understanding preservation and reconstruction requirements for computeraided medical decision-making. With an increasing number of computer-...
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
iStuff Mobile is the first rapid prototyping framework that helps explore new sensor-based interfaces with existing mobile phones. It focuses on sensor-enhanced physical interface...
Rafael Ballagas, Faraz Memon, Rene Reiners, Jan O....
Abstract Text documents usually embody visually oriented meta-information in the form of complex visual structures, such as tables. The semantics involved in such objects result in...
Background: High-throughput genome biological experiments yield large and multifaceted datasets that require flexible and user-friendly analysis tools to facilitate their interpre...