discard algorithm

基本解釋

The paper presents a robust self-calibration algorithm based on iterative weight, which can efficiently discard the outliers.
提出了一種利用加權(quán)疊代來(lái)拋棄出格數(shù)據(jù)的自定標(biāo)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.
首次提出採(cǎi)用循環(huán)計(jì)算方法、剔除2D和3D錯(cuò)誤點(diǎn)的運(yùn)動(dòng)眡覺特征點(diǎn)三維測(cè)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.
該算法通過(guò)在增量學(xué)習(xí)中逐步積累樣本的空間分佈知識(shí)，使得對(duì)樣本進(jìn)行有選擇地遺忘成爲(wèi)可能。