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Depending on time constraints, the concepts of divergence, Bhattacharrya distance, and scattered matrices are presented and commented on.
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Scattering matrices are obtained for individual segments and then combined to construct a global scattering matrix.
Using series expansion, we infer the expression of any order approximation for scattering matrix.
Distortion scattering matrix DS = (DS ij )X*Y.
Treated separately, these scatterers produce pure scattering matrices and well-defined complex amplitudescattering matrices.
General properties of the scattering matrices are studied.
The first approach begins by generating a pooled M-estimator of scatter based on all the data, followed by a penalised M-estimator of scatter for each group, with the penalty term chosen so that the individual scatter matrices are shrunk towards the pooled scatter matrix.
We also use this property to define approximate Eisenstein functions and scattering matrices.
The researchers reduced the dimension of the features by using scatter matrices.
They also used scatter matrices to reduce the dimensionality of the features.
Furthermore, the saliency of the center region is computed by the two scatter matrices.
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