Title :
2D-CCA based on pseudoinverse technique
Author_Institution :
Sch. of Inf. Eng., Jiangnan Univ., Wuxi
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;
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
DOI :
10.1109/CIMSA.2009.5069965
