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    題名: Classification in image recognition by ambiguous components
    作者: 曾正男
    Tzeng, Jeng-Nan
    貢獻者: 應數系
    關鍵詞: Association rules;Image recognition and ambiguous region
    日期: 2012.03
    上傳時間: 2014-05-22 11:15:03 (UTC+8)
    摘要: In the image recognition field, there are many proposed artificial intelligence techniques for finding features that can differentiate data belonging to different classes. Features or components which appear ambiguous for separating data belonging to different classes are usually left out in this field. In this paper, we will demonstrate that by proper design those ambiguous components can still be used for differentiating data. We proposed an association rules based method for designing an image classifier that can distinguish natural images and text images. Our experiments indicate that when existing approaches fail to carry out correct classification, our method can undoubtedly achieve better resu
    關聯: The International Journal of Intelligent Technologies and Applied Statistics (IJITAS), 5(1), 101-108
    資料類型: article
    顯示於類別:[應用數學系] 期刊論文

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