公开(公告)号：US20140321758A1

公开(公告)日：2014-10-30

申请号：US14323813

申请日：2014-07-03

Applicant: General Electric Company

Inventor： Xiaoming Liu ,  Peter Henry Tu ,  Ya Xue

IPC: G06K9/62

CPC classification number: G06K9/6206 ,  G06K9/00281 ,  G06K9/6224 ,  G06K9/623 ,  G06K9/6263

Abstract: A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.

Abstract translation: 公开了一种用于无监督特征选择的新技术。 所公开的方法包括自动选择图像的特征的子集。 另外，可以使用诸如基于最小二乘法的凝结算法的凝结算法来结合特征子集的选择。 通过选择图像的特征表示的子集，可以减少或去除冗余和/或不相关的特征，并且可以提高基于最小二乘法的凝结的效率和精度。