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Modified Oja's Algorithms For Principal Subspace and Minor Subspace extraction

✍ Scribed by Tianping Chen

Book ID
110277043
Publisher
Springer US
Year
1997
Tongue
English
Weight
68 KB
Volume
5
Category
Article
ISSN
1370-4621

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✍ Tianping Chen; Shun Ichi Amari; Qin Lin πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 82 KB

Principal component and minor component extractions provide powerful techniques in many information-processing fields. However, by conventional algorithms minor component extraction is much more difficult than principal component extraction. A unified algorithm which can be used to extract both prin

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✍ Fa-Long Luo; Rolf Unbehauen πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 21 KB

This letter points out that the unified algorithm given by Chen et al. (Chen, T., Amari, S., & Lin, Q. (1998). Neural Networks, 11, 385-390) is a direct generalization of our invariant-norm algorithm. However, this direct-generalized unified algorithm is not practical from the learning point of view