Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, and Edgar Koerner (2008)
A Vector Quantization Approach for Life-Long Learning of Categories
In: Proceedings of the International Conference on Neural Information Processing (ICONIP). Springer.
We present a category learning vector quantization (cLVQ)
approach for incremental and life-long learning of multiple visual categories
where we focus on approaching the stability-plasticity dilemma.
To achieve the life-long learning ability an incremental learning vector
quantization approach is combined with a category-specific feature selection
method in a novel way to allow several metrical “views” on the
representation space for the same cLVQ nodes.
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Created by heiko - 2008-12-05 09:45
Last modified by - 2008-12-18 11:40
Created by heiko - 2008-12-05 09:45
Last modified by - 2008-12-18 11:40
