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title:
Generalization of the Neural Gas for Learning Sparse Codes |
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name:
Martinetz |
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first name:
Thomas
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location/conference:
cssip10
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WWW-link:
www.inb.uni-luebeck.de |
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PRESENTATION-link:
http://www.dfg-spp1324.de/nuhagtools/event/dateien/talks_cssip/martinez.pdf |
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abstract:
The Neural Gas is a very simple but efficient algorithm for vector quantization which has found widespread applications. We show how it can be extended to learning linear subspaces and be cast into the framework of sparse coding. It compares favorably to other approaches like k-SVD and MOD. |
