Target of Data Pre-process Data feature extraction Abstract original features into a set of obvious physical significance (Gabor,geometric feature [angular point,invariant]. texture [LBP HOG])or statistical significance properties. 。Data transformation Standardization and gather data from different raw data. ●Data normalization To unify different sources of data to a frame of reference,to facilitate rapid convergence. DATA 8 Copyright 2019 by Xiaoyu Li.Copyright © 2019 by Xiaoyu Li. 8 Target of Data Pre-process  Data feature extraction Abstract original features into a set of obvious physical significance (Gabor, geometric feature [angular point, invariant], texture [LBP HOG]) or statistical significance properties.  Data transformation Standardization and gather data from different raw data.  Data normalization To unify different sources of data to a frame of reference, to facilitate rapid convergence