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Second, in light of the fact that the relational matrix is a representable matrix of the matroid induced by an equivalence relation, matrix representations of lower and upper approximations are obtained with the representable matrix of the matroid.
Matrix representations of the Tucker model.
Matrix representations of the PARAFAC model.
Thus, the resulting matrix representations of each instance contain fewer values and requires less memory.
It is known that each pattern can be represented by different matrix representations.
Unsupervised feature learning approaches typically exploit the spectral properties of various matrix representations of graphs.
The examples of share matrix representations used in our proposed scheme are described as follows.
Using this matrix representations the calculations seem to be very straightforward.
Moreover, new matrix representations for these numbers and polynomials are obtained.
The matrix representations of the TH and dehopping processes are carried out in a deterministic manner.
The methods use the matrix representations of the degree reduction and degree raising.
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