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Subspace Method in the Hilbert Space
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- TSUDA Koji
- Machine Understanding Division, Electrotechnical Laboratory
Bibliographic Information
- Other Title
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- ヒルベルト空間における部分空間法
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Description
To improve the classification accuracy of the subspace method, it is effective to reduce the dimensionality of the intersections between the subspaces. For this purpose, the feature space should be mapped to a higher dimensional space.In this paper, the feature space is mapped implicitly to the infinite dimensional Hilbert space in the same manner as the support vector machine, and the subspace method is applied to the Hilbert space. As a result of the Hiragana recognition experiment, it is shown that the classification accuracy is better than that of the conventional subspace classifier.
Journal
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- IEICE technical report. Neurocomputing
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IEICE technical report. Neurocomputing 98 (219), 47-54, 1998-07-27
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1574231877214030592
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- NII Article ID
- 110003233388
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- NII Book ID
- AN10091178
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- Text Lang
- ja
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- Data Source
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- CiNii Articles