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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/35941


    Title: A modular eigen subspace scheme for high-dimensional data classification
    Authors: Chang,YL;Han,CC;Jou,FD;Fan,KC;Chen,KS;Chang,JH
    Contributors: 太空及遙測研究中心
    Keywords: HYPERSPECTRAL DATA;STACK FILTERS
    Date: 2004
    Issue Date: 2010-07-07 15:54:27 (UTC+8)
    Publisher: 中央大學
    Abstract: In this paper, a novel filter-based greedy modular subspace (GMS) technique is proposed to improve the accuracy of high-dimensional data classification. The proposed approach initially divides the whole set of high-dimensional features into several arbitr
    Relation: FUTURE GENERATION COMPUTER SYSTEMS
    Appears in Collections:[太空及遙測研究中心] 期刊論文

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