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  1. JLinkage

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  2. J-linkage 算法,可以用于多体拟合的一种策略,优于Multi-ransac-This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each poin
  3. 所属分类:AI-NN-PR

    • 发布日期:2016-07-10
    • 文件大小:269.44kb
    • 提供者:tomas
  1. RBF

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  2. Radial Basis Function interpolation-RBF was originally developed for scattered multivariate data interpolation (Hardy 1971). It uses a series of basis functions that are symmetric and centred at each sampling point. Radial basis functions are a s
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-30
    • 文件大小:33.79kb
    • 提供者:wyl
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