We present a novel system for generic object class detection. In contrast to most existing systems which focus on a single viewpoint or aspect, our approach can detect object inst...
Alexander Thomas, Vittorio Ferrari, Bastian Leibe,...
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
d Abstract) Carsten Sinz and Wolfgang K¨uchlin Symbolic Computation Group, WSI for Computer Science, University of T¨ubingen and Steinbeis Technology Transfer Center OIT, 72076 T...
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Abstract. Contemporary information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Workflow managemen...