Results 211 to 220 of about 2,820,919 (248)

Canonical random correlation analysis

Proceedings of the 2010 ACM Symposium on Applied Computing, 2010
Canonical correlation analysis (CCA) is one of the most well-known methods to extract features from multi-view data and has attracted much attention in recent years. However, classical CCA is unsupervised and does not take class label information into account.
Jianchun Zhang, Daoqiang Zhang
openaire   +2 more sources

Generalised Canonical Correlation Analysis

2000
Canonical Correlation Analysis [3] is used when we have two data sets which we believe have some underlying correlation. In this paper, we derive a new family of neural methods for finding the canonical correlation directions by solving a generalized eigenvalue problem. Based on the differential equation for the generalized eigenvalue problem, a family
Zhenkun Gou, Colin Fyfe
openaire   +1 more source

Parametric Canonical Correlation Analysis

2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019
Generally, suppose a wave is a linear combination of multiple basis(Not necessarily a sine or cosine waves, it could also be a wavelet, etc.), different types of waves may be similar on some basis, but vary greatly on a certain basis. To address this problem, we introduce a PCCA-based feature extraction method that extends canonical correlation ...
Shangyu Chen, Shuo Wang 0012, Richard O. Sinnott   +2 more
openaire   +1 more source

Influence in Canonical Correlation Analysis

Psychometrika, 1992
The perturbation theory of the generalized eigenproblem is used to derive influence functions of each squared canonical correlation coefficient and the corresponding canonical vector pair. Three sample versions of these functions are described and some properties are noted.
openaire   +2 more sources

On canonical correlation and redundancy

九州大学大学院総合理工学報告, 1988
Ke, Hui-xin, Asano, Choichiro
openaire   +2 more sources

Canonical Concordance Correlation Analysis

Mathematics, 2023
Stan Lipovetsky
exaly  

Fault detection of process correlation structure using canonical variate analysis-based correlation features

Journal of Process Control, 2017
Benben Jiang, Richard D Braatz
exaly  

Discriminative Multiple Canonical Correlation Analysis for Information Fusion

IEEE Transactions on Image Processing, 2018
Ling Guan, Lin Qi
exaly  

Nonlinear canonical correlation analysis by neural networks

Neural Networks, 2000
William W Hsieh
exaly  

Two-Dimensional Canonical Correlation Analysis

IEEE Signal Processing Letters, 2007
Seungjin Choi
exaly