I'm teaching myself machine learning. Using online courses In have understood the concept of linear regression, logistic regression and SVM. But in the course I am following the author assumes that I have a set of features ready to be used and never touches on the topic of feature detection and extraction.
Is there a resource that gives an example of this process from start to finish so that I can get a better idea of the process.
Suppose I want to detect the letter 'A' from a chart of the alphabets, what do I do? How do I create the feature set? How do I extract said features and then use them with say SVM?
I found this tutorial on the MatlAB help page: http://www.mathworks.co.uk/help/vision/gs/object-detection-and-tracking.html
But this is for point matching as in it can only be used to find that specific elephant. I want to use SVM to learn it multiple variations of the letter 'A' and then test it.
Any guidance here would be greatly appreciated.
Thank you
Best Answer