Sentence examples for matrices and binary from inspiring English sources

Numerical tests using randomly generated matrices and binary distillation column case study demonstrate the computational efficiency of the proposed methods.

Two (equivalent) models of the iterated functions are employed, namely, matrix and binary polynomial representations.

The Kronecker product of the successive lower order matrix and binary block-wise basis matrix are used in recursive forms.

Three intermediates are used: set of jackknife trees, distance matrix, and binary encoding.

Numerical tests using randomly generated matrices and a binary distillation column case study demonstrate the computational efficiency of the proposed BAB algorithm.

Then, totally 146 textural features were obtained using four methods of gray-level histograms, gray level co-occurrence matrix (GLCM), gray level run-length (GLRM) matrix, and local binary pattern (LBP).

We used a set of jackknife trees, an inversion distance matrix, and a binary encoding of the gene order as intermediate data.

As described earlier, the main idea can be summarized as (i) finding hidden representations for the data points by mapping them into a subspace with the help of kernel and projection matrices and (ii) performing binary classification in this shared subspace using the task-specific classification parameters.

Extensive simulation results show that the sparse binary matrices constructed by the proposed algorithm significantly outperform Gaussian random matrices, random sparse binary matrices and two well-performing deterministic sparse binary matrices.

To test this hypothesis we transformed the metabolic data into a binary matrix and compared the binary and continuous results.

This section also derives the channel capacity for input Gaussian and nonbinary matrices as well as lower and upper bounds for binary inputs and binary matrices.