Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
This paper describes an imagingsystem that has been designed specifically for the purpose of recovering egomotion and structure from video. The system consists of six cameras in a...
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
We propose an extension to current view-based mediator systems called model-based mediation, in which views are defined and executed at the level of conceptual models (CMs) rather...
Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...