Graph embedding based feature selection
Usually many real datasets in pattern recognition applications contain a large quantity of noisy and redundant features that are irrelevant to the intrinsic characteristics of the dataset. The irrelevant features may seriously deteriorate the learning performance. Hence feature selection which aims...
| 主要な著者: | , , |
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| その他の著者: | |
| フォーマット: | Journal Article |
| 言語: | English |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/84508 http://hdl.handle.net/10220/13651 |