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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.
SVM's are idea for labeled datasets where the results are not boolean. (multiple labels) Where do you see this fitting into the pipeline? I have played with https://www.npmjs.com/package/node-svm. It seems solid.
Resources:
http://en.wikipedia.org/wiki/Support_vector_machine
http://docs.opencv.org/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html
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