Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
Since the Internet of Services (IoS) is becoming reality, there is an inherent need for novel service selection mechanisms, which work in spite of large numbers of alternative ser...
Philipp Leitner, Anton Michlmayr, Florian Rosenber...
In order to provide a generic, applicationindependent and resource-efficient framework for server redundancy and session failover, the IETF RSerPool WG is currently standardizing ...
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...