Binary SVM Cascade Classifier

1 次查看（过去 30 天）
Andrés Vacas
Andrés Vacas 2017-6-24
评论： Andrés Vacas 2017-6-27
I am trying to train a SVM with data that I have extracted from movie scenes. This data comes in .xml files and contains information about both audio and video of the scene. Now I am having problems in finding how to train a SVM in Matlab. First of all it is not clear how to get the data from the files that I have generated and get them to be correctly operated by Matlab.
Just to give more info, the classification has to be in cascade because I have got 4 movie genres. So my question is:
How can I get the data from my .xml files and train them with a SVM using Matlab?
Thank you for your time.
  1 个评论
Andrés Vacas
Andrés Vacas 2017-6-26
I already got the info out of the xml files. Now I would like to know what file extension or format(.txt, .csv, .xls...) is best supported by the training commands and what command is best.
Thank you for your help

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Mudambi Srivatsa
Mudambi Srivatsa 2017-6-26
You can import data from a variety of file formats (.txt, .csv, .xls and so on) into MATLAB table format using "readtable" function.
Refer to the following link for more information:
https://www.mathworks.com/help/matlab/ref/readtable.html
Once you import the table data, you can use it in "fitcsvm" to train or cross-validate SVM as follows:
Mdl = fitcsvm(Tbl,ResponseVarName)

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by