Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
This paper presents a strategy to handle incomplete knowledge during acquisition process. The goal of this research is to develop formal tools that benefit the law of semantic bala...
The Agent WiSARD methodology for intelligent active video surveillance systems is proposed in this paper. The hybrid neurosymbolic system (called ISIDIS) is based on the integrati...
We present a psycho-visual and analytical framework for automatic measurement of motion activity in video sequences. We construct a test-set of video segments by carefully selecti...
Kadir A. Peker, Ajay Divakaran, Thomas V. Papathom...