@inproceedings {pub2896,
	title = {Interactive Online Learning for Obstacle Classification on a Mobile Robot},
	author = {Viktor Losing AND Barbara Hammer AND Heiko Wersing},
	year = {2015},
	month = {July},
	abstract = {We present an architecture for incremental online learning in high-dimensional feature spaces and apply it on a mobile robot. 
The model is based on learning vector quantization, approaching the stability-plasticity problem of incremental learning by adaptive insertions
of representative vectors. 
We employ a cost-function-based learning vector quantization approach and introduce a new insertion strategy optimizing a cost-function based on
a subset of samples. 
We demonstrate this model within a real-time application for a mobile robot scenario, where we perform interactive real-time learning of visual categories.},
	publisher = {IEEE},
	booktitle = {International Joint Conference on Neural Networks IJCNN, Killarney Ireland},
	pages = {2310-2317}
}