Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
This paper presents a flexible and effective examplebased approach for labeling title pages which can be used for automated extraction of bibliographic data. The labels of intere...
Joost van Beusekom, Daniel Keysers, Faisal Shafait...
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
The multi-label problem is of fundamental importance to computer vision, yet finding global minima of the associated energies is very hard and usually impossible in practice. Rec...
Evgeny Strekalovskiy, Bastian Goldluecke, Daniel C...