Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
An on-line agglomerative clustering method for nonstationary data
Neural Computation
Mustererkennung 1996, 18. DAGM-Symposium
Incremental classifier based on a local credibility criterion
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Robotics and Autonomous Systems
Online kernel density estimation for interactive learning
Image and Vision Computing
Tutor-based learning of visual categories using different levels of supervision
Computer Vision and Image Understanding
Invariant object recognition and pose estimation with slow feature analysis
Neural Computation
A biologically motivated system for unconstrained online learning of visual objects
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
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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 three-dimensional 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.