计算机科学
采样(信号处理)
聚类分析
灵活性(工程)
数据挖掘
航程(航空)
人工智能
工程类
统计
数学
计算机视觉
滤波器(信号处理)
航空航天工程
作者
Rehab Kotb Ali,Le Hong
摘要
In this paper, we are presenting a smart and efficient methodology to select the most representative patterns on the wafer. Calibre-SONR is doing Smart down-sampling to patterns on the wafer based on their features and choose the most representative ones to be used in different applications. In addition, it gives the user the flexibility to choose the range of needed representative patterns to tune their models on. A comparison between SONR down-sampling and typical offthe- shelf down-sampling and clustering techniques is done. SONR gives better coverage to the unique patterns than other techniques and able to handle larger data sets.
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