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DAGM
2005
Springer

Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture

12 years 3 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a recently developed topographical feature hierarchy to provide a view-based representation of threedimensional objects using a dynamical vector quantization approach. For a simple short-term object memory model we demonstrate real-time online learning of 50 complex-shaped objects within three hours. Additionally we propose some modifications of learning vector quantization algorithms that are especially adapted to the task of online learning and capable of effectively reducing the representational effort in a transfer from short-term to long-term memory.
Stephan Kirstein, Heiko Wersing, Edgar Körner
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where DAGM
Authors Stephan Kirstein, Heiko Wersing, Edgar Körner
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