Sentence examples for by stacking the columns from inspiring English sources

Finally, the feature vector z(k) is obtained by stacking the columns of z k)into a new single feature vector.

Similarly, span(X), rank(X), and vec(X) denote the column space, rank, and vector obtained by stacking the columns of matrix X, respectively.

Here, β is the vector created by stacking the columns of the matrix Q. λ L and λ S are the regularization parameters.

The vec (A) denotes the column vector obtained by stacking the columns of A. The letter j represents the imaginary unit (i.e., (j=sqrt {-1})).

For a matrix A, the operate vec (A) is used for vectorizing A by stacking the columns of A into a column vector.

The operator bdiag forms a block diagonal matrix from its matrix arguments, while the operator vec transforms a matrix into a column vector by stacking the columns of its matrix argument one on top of the other one.

Moreover, h[t]is the column vector formed by vertically stacking the columns of an nt × nr channel realization matrix H[t]and x's are constructed by splitting x in Ns' sub-vectors with size 1 × nt/s'.

By stacking the k columns of the matrix ( {tilde{f}}_{i,j,k} ), i.e., ( {f}_{i,j,k}={tilde{f}}_{i,j,k}left(:right) ), a vector is obtained and the overlapping group sparsity (OGS) functional of a two-dimensional array can be defined as {varphi}_{OGS}(f)=sum_{i,j=1}^n{leftVert {f}_{i,j,k}rightVert}_2. (13).

vec is the vectorization operator stacking the columns of a matrix on top of each other.

Calculate the first k eigenvalues x 1, x 2,…,x k of L and form the matrix X = [x1x2…x k ] ∈ Rn × k by stacking the eigenvectors in columns.

By stacking the basis vectors as columns into the N × N sparsity basis matrix Ψ = ψ 1 … ψ N, its matrix notation can be x=Psi b.