Process variability has a detrimental impact on the performance of memories and other system components, which can lead to parametric yield loss at the system level due to timing ...
Antonis Papanikolaou, T. Grabner, Miguel Miranda, ...
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
We explore the emerging phenomenon of blogging about personal goals, and demonstrate how natural language processing tools can be used to uncover psychologically meaningful constr...
Cindy K. Chung, Clinton Jones, Alexander Liu, Jame...
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...