A smoothed rank function algorithm based Hyperbolic Tangent function for matrix completion

The matrix completion problem is to recover the matrix from its partially known samples. A recent convex relaxation of the rank minimization problem minimizes the nuclear norm instead of the rank of the matrix. In this paper, we use a smooth function-Hyperbolic Tangent function to approximate the ra...

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Bibliographic Details

Published in:	2012 International Conference on Machine Learning and Cybernetics Vol. 4; pp. 1333 - 1338
Main Authors:	Juan Geng, Lai-Sheng Wang, Ai-Min Fu, Qi-Qing Song
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2012
Subjects:	Abstracts Hyperbolic Tangent function Approximation Image reconstruction MATLAB Nuclear norm minimization Periodic structures Smoothed rank function approximation
ISBN:	1467314846, 9781467314848
ISSN:	2160-133X
Online Access:	Get full text
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