A Biologically Motivated System for Unconstrained Online Learning of Visual Objects

We present a biologically motivated system for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The training is unconstrained in the sense that arbitrary objects can be freely presented in front of a stereo camera system and labeled...

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Bibliographische Detailangaben

Hauptverfasser:	Wersing, Heiko, Kirstein, Stephan, Götting, Michael, Brandl, Holger, Dunn, Mark, Mikhailova, Inna, Goerick, Christian, Steil, Jochen, Ritter, Helge, Körner, Edgar
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Humanoid Robot Object Memory Online Learning Pattern recognition. Digital image processing. Computational geometry Peripersonal Space Sensory Memory
Online-Zugang:	Volltext
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