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1984, Sage university papers. Quantitative applications in the social sciences, ISBN 9780803923928, Volume 47, 71
Book
Journal of Machine Learning Research, ISSN 1532-4435, 04/2013, Volume 14, Issue 1, pp. 965 - 1003
Journal Article
Machine Learning, ISSN 0885-6125, 6/2011, Volume 83, Issue 3, pp. 331 - 353
Journal Article
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2019, Volume 20
We study the sample complexity of canonical correlation analysis (CCA), i.e., the number of samples needed to estimate the population canonical correlation and... 
streaming CCA | Canonical correlation analysis | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | sample complexity | shift-and-invert preconditioning
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2019, Volume 67, Issue 11, pp. 2826 - 2838
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2016, Volume 25, Issue 6, pp. 2610 - 2619
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 11/2015, Volume 27, Issue 11, pp. 3111 - 3124
Journal Article
Information Sciences, ISSN 0020-0255, 04/2017, Volume 385-386, pp. 338 - 352
In recent years, deep learning has attracted an increasing amount of attention in machine learning and artificial intelligence areas. Currently, many deep... 
Deep learning | Convolutional neural networks | Canonical correlation analysis | Image classification | COMPUTER SCIENCE, INFORMATION SYSTEMS | DEEP | Information science | Control engineering | Algorithms | Neural networks | Analysis | Machine learning | Information management | Artificial intelligence
Journal Article
1977, A Sage University paper. Quantitative applications in the social sciences, ISBN 0803906552, Volume no. 6, 62
Book
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 12/2019, pp. 1 - 1
In recent years, the advances in data collection and statistical analysis promotes canonical correlation analysis (CCA) available for more advanced research.... 
Analytical models | Correlation | Survey | Computational modeling | Probabilistic logic | Data models | Bayes methods | Kernel | Machine Learning | Canonical Correlation Analysis
Journal Article
BMC Systems Biology, ISSN 1752-0509, 2016, Volume 10, Issue 1, p. 72
Background: Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associations between two sets of variables. The... 
Penalized estimation | Robust estimation | Canonical correlation analysis | CCA | CLASSIFICATION | MODEL | REGULATORY NETWORKS | LASSO | MATHEMATICAL & COMPUTATIONAL BIOLOGY | REGRESSION SHRINKAGE | SELECTION | ASSOCIATION | EFFICIENT | Computational Biology - methods | Algorithms | Breast Neoplasms - genetics | Journalism, Medical | Forecasts and trends | Data reduction | Methods
Journal Article
Biostatistics, ISSN 1465-4644, 2014, Volume 15, Issue 3, pp. 569 - 583
Journal Article
Pattern Recognition, ISSN 0031-3203, 08/2012, Volume 45, Issue 8, pp. 3003 - 3016
In this paper, we propose a novel method named Mixed Kernel CCA (MKCCA) to achieve easy yet accurate implementation of dimensionality reduction. MKCCA consists... 
Dimensionality reduction | Mixed kernel | Model selection | Canonical Correlation Analysis | RELEVANCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Learning | Kernels | Design engineering | Reduction | Noise | Hilbert space | Pattern recognition | Principal component analysis
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 10/2015, Volume 90, Issue C, pp. 114 - 131
Journal Article