Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

31 lines
792 B

Machine Learning (ml module) {#tutorial_table_of_content_ml}
============================
Use the powerful machine learning classes for statistical classification, regression and clustering
of data.
- @subpage tutorial_introduction_to_svm
*Compatibility:* \> OpenCV 2.0
*Author:* Fernando Iglesias García
Learn what a Support Vector Machine is.
- @subpage tutorial_non_linear_svms
*Compatibility:* \> OpenCV 2.0
*Author:* Fernando Iglesias García
Here you will learn how to define the optimization problem for SVMs when it is not possible to
separate linearly the training data.
- @subpage tutorial_introduction_to_pca
*Compatibility:* \> OpenCV 2.0
*Author:* Theodore Tsesmelis
Learn what a Principal Component Analysis (PCA) is.