for my final thesis i am trying to build up an 3d face recognition system by combining color and depth information. the first step i did, is to realign the data-head to an given model-head using the i
I have an annoying problem when using machine learning library PyML. PyML uses libsvm to tr开发者_如何学编程ain the SVM classifier. The problem is that libsvm outputs some text to standard output. But
I\'m cross-posting this from math.stackexchange.com because I\'m not getting any feedback and it\'s a time-sensitive question for me.
I am using a multi-dimensional SVM classifier (SVM.NET, a wrapper for libSVM) to classify a set of features.
I am using the LibSVM tool for my support vector classification implementation:- The first line in my input data file looks as so:-
I\'m using libsvm for multi-class classification of datasets with a large number of features/attributes (around 5,800 per each item).I\'d like to choose better parameters for C and Gamma than the defa
I\'m using PYML to construct a multiclass linear support vector machine (SVM). After training the SVM, I would like to be able to save the classifier, so that on subsequent runs I can use the classifi
How do I visualize the SVM classification once I perform SVM training in Matlab? So far, I have only trained the SVM with:
When creating a libsvm training file, how do you differentiate between a nominal attribute verses a numeric attribute? I\'m trying to encode certain nominal attributes as integers, but I want to ensur
I\'ve been searching the net for ~3 hours but I couldn\'t find a solution yet. I want to give a precomputed kernel to libsvm and classify a dataset, but:
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