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Hyvarinen et al., 1996 - Google Patents

A neuron that learns to separate one signal from a mixture of independent sources

Hyvarinen et al., 1996

View PS
Document ID
12410052649675911058
Author
Hyvarinen A
Oja E
Publication year
Publication venue
Proceedings of International Conference on Neural Networks (ICNN'96)

External Links

Snippet

Recently, several neural algorithms have been introduced for the problem of source separation or independent component analysis. In this paper we approach the problem from the point of view of a single neuron. Two simple learning rules are presented as examples of …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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