DocumentCode
552527
Title
Notice of Retraction
Least-square solutions of the linear matrix equation over symmetric orthogonal symmetric matrices
Author
Ru Tian ; Yan-Ping Sheng
Author_Institution
Sch. of Appl. Sci., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Volume
2
fYear
2011
fDate
10-13 July 2011
Firstpage
863
Lastpage
866
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
We are concerned with the problem of the least-square solutions of the linear matrix equation over symmetric orthogonal symmetric matrices, derived the general solutions of the problem.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
We are concerned with the problem of the least-square solutions of the linear matrix equation over symmetric orthogonal symmetric matrices, derived the general solutions of the problem.
Keywords
least squares approximations; linear matrix inequalities; least-square solutions; linear matrix equation; symmetric orthogonal symmetric matrices; Cybernetics; Equations; Learning systems; Linear algebra; Machine learning; Mathematical model; Symmetric matrices; Matrix norm; Symmetric orthogonal symmetric matrices; The least-squares solution; The linear matrix equation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016823
Filename
6016823
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