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Explicit link to 2.4 docs
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@ -94,7 +94,7 @@ the weight vector \f$\beta\f$ and the bias \f$\beta_{0}\f$ of the optimal hyperp
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Source Code
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-----------
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@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html#introductiontosvms)
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@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/2.4/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html#introductiontosvms)
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@include cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp
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@ -90,7 +90,7 @@ You may also find the source code in `samples/cpp/tutorial_code/ml/non_linear_sv
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[download it from here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp).
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@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code
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using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/doc/tutorials/ml/non_linear_svms/non_linear_svms.html#nonlinearsvms)
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using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/2.4/doc/tutorials/ml/non_linear_svms/non_linear_svms.html#nonlinearsvms)
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@include cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp
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