complementary subset

Based on the new idea of randomly sampling the redundant minimal subset,a new method is developed of robustly and accurately restoring the 3-D vision information of an object from the model data and image data of its key point set of a single perspective view.

基于随机采样最小冗余子集的新概念，依据单视图特征点集的模型数据和图象数据，开发了一项目标三维视觉信息鲁棒精确复原新方法在强噪声高出格率的恶劣条件下，该方法仍可高精度地复原目标的三维信息实验表明，对于由１００个特征点组成的数据集而言，当出格率高达９０％，内点信噪比低达２８ｄＢ时，仍能以１％的相对误差复原特征点的三维坐标

Secondly, by using the connection, we prove that the minimal continuous semi-flow is the minimal continuous flow if its time-one map is open, and for any minimal continuous semi-flow, there is an invariant residual set such that the restriction to the set is a minimal continuous flow.

为此，我们首先建立了它与其时间1映射极小集的联系；然后，利用这种联系证明了：若时间1映射为开映射，则它是极小的连续流，并且一般地说来，对任意极小连续半流，存在不变的剩余集，使得它在这不变集上的限制是极小的连续流。

Then the fast and efficient algorithm for pruning redundant itemsets and redundant rules,ORD algorithm is applied to obtaining assoc.

该算法首先采用基于粗糙集理论的属性约简算法进行属性约简,然后采用快速、高效的冗余项集和冗余规则修剪算法——ORD算法获取关联规则。