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Updated docs
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programming approach using C++ templates. In particular, each algorithm is parameterized
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programming approach using C++ templates. In particular, each algorithm is parameterized
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to allow a user to supply either one of the predefined dlib kernels (e.g. <a
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to allow a user to supply either one of the predefined dlib kernels (e.g. <a
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href="#radial_basis_kernel">RBF</a> operating
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href="#radial_basis_kernel">RBF</a> operating
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on <a href="containers.html#matrix">column vectors</a>), or a new user defined kernel.
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on <a href="containers.html#matrix">column vectors</a>), or a new
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<a href="using_custom_kernels_ex.cpp.html">user defined kernel</a>.
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Moreover, the implementations of the algorithms are totally separated from the data on
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Moreover, the implementations of the algorithms are totally separated from the data on
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which they operate. This makes the dlib implementation generic enough to operate on
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which they operate. This makes the dlib implementation generic enough to operate on
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any kind of data, be it column vectors, images, or some other form of structured data.
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any kind of data, be it column vectors, images, or some other form of structured data.
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