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Ceramic artifacts debris classification Based on fusion of physical and cultural characteristics

机译:基于物理和文化特征融合的陶瓷伪影分类

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This paper presents methods of feature description and extraction of ceramic artifacts, and then use canonical correlation analysis techniques and methods for establishing the correlation between the multi-feature information criterion-function theories, to solve the case of high-dimensional small sample typical projection vector set problem. The proposed methods and performs much better than the previous methods, has received the good effect in the ceramic fragments classification experiment.
机译:本文介绍了陶瓷伪影的特征描述和提取的方法,然后使用规范相关分析技术和方法来建立多特征信息标准功能理论之间的相关性,解决高维小样本典型投影向量的情况设置问题。所提出的方法和比以前的方法更好,已经在陶瓷片段分类实验中获得了良好的效果。

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