mirror of https://github.com/davisking/dlib.git
Added a premultiply_projections_by() function to the empirical_kernel_map.
--HG-- extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403317
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@ -164,6 +164,23 @@ namespace dlib
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return distance_function<kernel_type>(trans(weights)*vect, dot(vect,vect), kernel, vector_to_matrix(basis));
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}
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template <typename EXP>
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void premultiply_projections_by (
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const matrix_exp<EXP>& mat
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)
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{
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// make sure requires clause is not broken
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DLIB_ASSERT(out_vector_size() != 0 && mat.nc() == out_vector_size(),
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"\t void empirical_kernel_map::premultiply_projections_by()"
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<< "\n\t Invalid inputs to this function."
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<< "\n\t out_vector_size(): " << out_vector_size()
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<< "\n\t mat.nc(): " << mat.nc()
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<< "\n\t this: " << this
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);
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weights = mat*weights;
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}
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const matrix<scalar_type,0,1,mem_manager_type>& project (
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const sample_type& samp
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) const
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@ -122,6 +122,20 @@ namespace dlib
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- returns 0
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!*/
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template <typename EXP>
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void premultiply_projections_by (
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const matrix_exp<EXP>& mat
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);
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/*!
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requires
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- out_vector_size() != 0
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- mat.nc() == out_vector_size()
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ensures
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- #out_vector_size() == mat.nr()
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- TODO explain what this does. introduce functions to get the
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weights and basis vectors and relate it to those.
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!*/
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const matrix<scalar_type,0,1,mem_manager_type>& project (
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const sample_type& sample
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) const;
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