This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
We develop a theory for learning scenarios where multiple learners co-exist but there are mutual compatibility constraints on their outcomes. This is natural in cognitive learning...
Adhesive high-level replacement (HLR) systems are introduced as a new categorical framework for graph transformation in the double pushout (DPO) approach, which combines the well-k...
Hartmut Ehrig, Julia Padberg, Ulrike Prange, Anneg...
Abstract— The ability to prevent risks as well as to appropriately counteract occurring threats has increasingly become a crucial success factor. Traditional business process man...
Gernot Goluch, Andreas Ekelhart, Stefan Fenz, Stef...
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...