Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification - researchr publication authors

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Cheng-Hsuan Li, Pei-Jyun Hsieh, Bor-Chen Kuo. Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification. In 2017 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, TX, USA, July 23-28, 2017. pages 574-577, IEEE, 2017. [doi]

This author has not been identified. Look up 'Cheng-Hsuan Li' in GoogleThis author has not been identified. Look up 'Pei-Jyun Hsieh' in GoogleThis author has not been identified. Look up 'Bor-Chen Kuo' in Google

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