Exact(3)
One such complex type of math problem common in AI applications is a matrix vector product.
where H indicates the conjugate transpose (Hermitian) of a matrix (vector).
For the ISDIC algorithm we use a matrix vector notation for simplicity, which is introduced in the following.
Similar(57)
It relies on a matrix-vector product and the Moore-Penrose generalized inverse.
Their proposed model is a matrix-vector recursive neural network model.
end{aligned} (2.6)We can write this equation in a matrix-vector form.
Subsequently, we re-write the estimation of the CA vector as a matrix-vector product.
Algorithm 1 is thus no more than a matrix-vector multiplication with a sparse matrix in CSR format.
ICC solves the matrix equation A h = b with a matrix inversion and a matrix-vector multiplication.
Based on the discussion in [18], we first recall a matrix-vector product for vectors and matrices in (mathbf{C}^{mtimes n}).
Alternatively, we can view the differentiation operator (mathcal{D}_{N}) as a matrix, and the above process can be seen as a matrix-vector multiplication.
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