DocumentCode
1983034
Title
2D-CCA based on pseudoinverse technique
Author
Wu, Xiao-jun
Author_Institution
Sch. of Inf. Eng., Jiangnan Univ., Wuxi
fYear
2009
fDate
11-13 May 2009
Firstpage
277
Lastpage
280
Abstract
The recently proposed 2D-CCA is an important method for high dimensional data representation. The mathematical model of 2D-CCA based on pseudoinverse technique is investigated. The computational formulae for 2D-CCA based on pseudoinverse have been derived theoretically. The results of experiments show that the proposed method is effective for the computation of 2D-CCA.
Keywords
correlation methods; data structures; statistics; 2D-CCA; canonical correlation analysis; data representation; mathematical model; pseudoinverse technique; Computational intelligence; Data analysis; Eigenvalues and eigenfunctions; Feature extraction; Information retrieval; Mathematical model; Pattern recognition; Statistics; Vectors; Yttrium; 2D-CCA; CCA; feature extraction; pattern recognition; pseudoinverse;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-3819-8
Electronic_ISBN
978-1-4244-3820-4
Type
conf
DOI
10.1109/CIMSA.2009.5069965
Filename
5069965
Link To Document