但是在编写XML文档时，通常要联接和重构大型数据集，以匹配所需的文档结构。
However, when composing XML documents, it is common that large datasets need to be joined and restructured to match the desired document structure.
该算法在原有AMLE算法的基础上，保留图像水平集的边界数据，采用逐层处理方法实现图像重构。
On the basis of existing AMLE algorithm, this algorithm saves the bound data of image level sets and uses the method of processing scale by scale to reconstruct image.
最后，该方法包括对原始或组合的数据集执行重构以获得一个或多个EI图像和一个或多个ED分量图像。
Finally the method comprises performing reconstruction on the original or combined datasets to obtain one or more of an EI image and one or more Ed component images.
提出了基于最小能量约束的水平集重构方法，用以解决由三维数据点云自动重构复杂拓扑结构物体模型的问题。
A constrained energy minimization based on level set method for 3d reconstruction of object with complex topology is proposed.
提出了基于最小能量约束的水平集重构方法，用以解决由三维数据点云自动重构复杂拓扑结构物体模型的问题。
A constrained energy minimization based on level set method for 3d reconstruction of object with complex topology is proposed.
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