We propose a method for controlling the quality of (semi-)automatically acquired axioms. We combine the manual inspection of axioms with automatic evaluation decisions and propose ...
Nadeschda Nikitina, Sebastian Rudolph, Birte Glimm
This paper presents the evaluation results of a system for tracking humans in surveillance videos. Moving blobs are detected based on adaptive background modeling. A shape based mu...
Bo Wu, Vivek Kumar Singh, C.-H. Kuo, Li Zhang, Sun...
The evaluation results of a system for tracking humans in surveillance videos are presented. Moving blobs are detected based on adaptive background modeling. A shape based multi-vi...
Bo Wu, Xuefeng Song, Vivek Kumar Singh, Ram Nevati...
Abstract. This paper describes the official measures of retrieval effectiveness that are employed for the Ad Hoc Track at INEX 2007. Whereas in earlier years all, but only, XML el...
Jaap Kamps, Jovan Pehcevski, Gabriella Kazai, Moun...
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...