By fusing it with a robust estimation technique of the type of randomly sampling minimal subsets, we develop the robust version of the algorithm. 通過(guò)融合進(jìn)隨機采樣最小子集型魯棒估計技術(shù)，我們進(jìn)一步開(kāi)發(fā)出仿射參數的無(wú)對應性魯棒精確復原算法。
There are many applications for random sampling. 隨機抽樣有許多應用場(chǎng)合。
CLAP preprocesses some of the data extracted from the database by random sampling technique, which decreases the running time greatly. 該算法采用隨機抽樣技術(shù)，從數據庫中抽取一部分數據進(jìn)行聚類(lèi)的預處理過(guò)程，這樣大大降低了運行時(shí)間。
