Feature fusion using Canonical Correlation Analysis (CCA)
Feature level fusion using Canonical Correlation Analysis (CCA)
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Cite As
Haghighat, Mohammad, et al. “Fully Automatic Face Normalization and Single Sample Face Recognition in Unconstrained Environments.” Expert Systems with Applications, vol. 47, Elsevier BV, Apr. 2016, pp. 23–34, doi:10.1016/j.eswa.2015.10.047.
Acknowledgements
Inspired by: Dimensionality Reduction using Generalized Discriminant Analysis (GDA)
Inspired: Feature fusion using Discriminant Correlation Analysis (DCA)
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
General Information
- Version 1.0.1 (3.12 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | Updated the references |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
