Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
We have for several years been working on an approach to knowledge system building that argues for the existence of a close connection between the tasks which the knowledge system ...
We propose a novel algorithm for uncalibrated photometric stereo. While most of previous methods rely on various assumptions on scene properties, we exploit constraints in lighting...
Programming technologies have improved continuously during the last decades, but from an Information Systems perspective, some well-known problems associated to the design and impl...
The emerging area of business process intelligence attempts to enhance the analytical capabilities of business process management systems by employing data warehousing and mining t...