Abstract: Extracting the geometric features of satellites from inverse synthetic aperture radar images is a meaningful and challenging task. Previous methods have focused on estimating 3-D geometric ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...