Convergence of the Newton-type methods for the square inverse singular value problems with multiple and zero singular values
Sign Up to like & getrecommendations! Published in 2019 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2019.03.011
Abstract: Abstract In this paper, we study the convergence of the Newton-type methods for solving the square inverse singular value problem with possible multiple and zero singular values. Comparing with other known results, positivity assumption of… read more here.
Keywords: newton type; square inverse; inverse singular; convergence newton ... See more keywords
Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.039
Abstract: Hyperspectral images (HSIs) are often corrupted by noise during the acquisition process, thus degrading the HSI's discriminative capability significantly. Therefore, HSI denoising becomes an essential preprocess step before application. This paper proposes a new HSI… read more here.
Keywords: partial sum; segmentation; hyperspectral image; singular values ... See more keywords
Random matrix analysis of deep neural network weight matrices
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.054124
Abstract: Neural networks have been used successfully in a variety of fields, which has led to a great deal of interest in developing a theoretical understanding of how they store the information needed to perform a… read more here.
Keywords: rmt; random matrix; deep neural; weight matrices ... See more keywords