Deep learning approach for matrix completion using manifold learning
Abstract
Matrix completion has received vast amount of attention and research due to its wide applications in various study fields. Existing methods of matrix completion consider only nonlinear (or linear) relations among entries in a data matrix and ignore linear (or nonlinear) relationships latent. This paper introduces a new latent variables model for data matrix which is a combination of linear and nonlinear models and designs a novel...
Paper Details
Title
Deep learning approach for matrix completion using manifold learning
Published Date
Nov 1, 2021
Journal
Volume
188
Pages
108231 - 108231
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