唯一获得可伸缩性的方法是变换成单对多模型，在每个应用里保存多个用户身份。

The only way to scale is to move to a one-to-many model that includes the number of user identities in each application.

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经典的用于跨域协作的“复制变换”方法在较大的模型驱动企业中伸缩性不是很好。

The classical exchange-by-copy approach to cross-domain collaboration does not scale well in a large model-driven enterprise.

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首先，综述了图像域中分形编码的特性，然后导出在离散余弦变换(简称DCT)域中仿射变换的伸缩因子和偏移量的对应公式。

We firstly overview the properties of fractal coding in image domain, then we derive the corresponding formula of scaling factor and offset of affine transform in DCT domain.

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