discard algorithm

基本解释

The paper presents a robust self-calibration algorithm based on iterative weight, which can efficiently discard the outliers.
提出了一种利用加权迭代来抛弃出格数据的自定标算法。
This thesis proposes an algorithm of feature point 3D vision measurement from motion to use cycle computation and discard 2D & 3D outliers for the first time.
首次提出采用循环计算方法、剔除2D和3D错误点的运动视觉特征点三维测量算法。
This algorithm accumulates distribution knowledge of the training sample while the incremental training is proceeded, and thus makes it possible to discard samples optimally.
该算法通过在增量学习中逐步积累样本的空间分布知识，使得对样本进行有选择地遗忘成为可能。