Theoretical insights on the pre-image resolution in machine learning

While many nonlinear pattern recognition and data mining tasks rely on embedding the data into a latent space, one often needs to extract the patterns in the input space. Estimating the inverse of the nonlinear embedding is the so-called pre-image problem. Several strategies have been proposed to ad...

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Bibliographic Details
Published in:	Pattern recognition Vol. 156; p. 110800
Main Author:	Honeine, Paul
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2024 Elsevier
Subjects:	Artificial Intelligence Computer Science Fixed-point iteration Machine Learning Majorize-minimization algorithm Newton’s method Pattern recognition Pre-image problem Majorize-minimization algorithm Newton’s method Fixed-point iteration Pattern recognition Machine learning Pre-image problem Pattern Recognition Newton's Method Fixed-point Iteration Majorize-Minimization Algorithm Machine Learning Pre-image Problem
ISSN:	0031-3203
Online Access:	Get full text
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