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Composite kernels for support vector classification of hyper-spectral data

The incorporation of prior knowledge into the Support Vector Machine (SVM) architecture is a problem which if solved can lead to much more accurate classifiers in the near future. This result could be particularly effective in the classification of remote sensing imagery, where an abundance of infor...

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書誌詳細
主要な著者:	Kohram, Mojtaba, Md. Sap, Mohd. Noor
フォーマット:	Book Section
出版事項:	Springer Verlag 2008
主題:	QA75 Electronic computers. Computer science
オンライン･アクセス:	http://eprints.utm.my/id/eprint/12518/ http://dx.doi.org/10.1007/978-3-540-88636-535
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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