https://github.com/animesh-chourey/age-estimation-by-regression

Age estimation is performed from the facial images.
https://github.com/animesh-chourey/age-estimation-by-regression

multiple-linear-regression partial-least-squares-regression regression-tree support-vector-regression

Last synced: 2 days ago
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Age estimation is performed from the facial images.

• Host: GitHub
• URL: https://github.com/animesh-chourey/age-estimation-by-regression
• Owner: Animesh-Chourey
• Created: 2022-09-01T12:49:13.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2022-09-01T12:50:18.000Z (about 2 years ago)
• Last Synced: 2024-08-05T12:56:54.555Z (3 months ago)
• Topics: multiple-linear-regression, partial-least-squares-regression, regression-tree, support-vector-regression
• Language: MATLAB
• Homepage:
• Size: 1.56 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Age Estimation by Regression

The implementation done here is on age estimation from facial images. The program takes the AAM parameters as representation of human faces and learn a regression function to predict age for an unseen face.

Following taks have been performed here:

* "Multiple Linear Regression model" is used through regress() function to learn regression model.

* The learned linear regression model is applied on the test data to estimate the age for each test data point.

* Mean Absolute Error (MAE) and Cumulative Score (CS) is computed for both partial least squares regression model and the regression tree model.

* Finally, MAE and CS is computed for Support Vector Regression.

For more details look into the report.