 |
|
|
|
|
 |
 |
|
Support Vector Classifier
|
|
|
|
|
|
| Organization: | Budapest University of Technology and Economics |
| Department: | Photogrammetry and Geoinformatics |
|
|
|
|
|
|
2004-10-05
|
|
|
|
|
|
In this case study, a Support Vector Classifier function has been developed in Mathematica. Starting with a brief summary of the support vector classification method, a step by step implementation of the classification algorithm is presented. Using this function, two test problems -- learning a chess board and classification of two interwined spirals -- are solved. In addition, an application to image recognition is demonstrated using wavelet transform as feature extraction method.
|
|
|
|
|
|
|
|
|
|
|
|
Computer vision, Bela Palancz
|
|
|
 |
|
|
| SVCMathematica.nb (724.3 KB) - Mathematica Notebook |
|
|
For the newest resources, visit Wolfram Repositories and Archives »
