Sentence examples for our algorithm consists of from inspiring English sources
Our algorithm consists of two components.
The storage cost of our algorithm consists of the costs of storing the coefficients, edge locations and the path information.
Our algorithm consists of the following main steps: Section 2.1 threshold determination; Section 2.2 voxel classification; Section 2.3 density-based clustering; Section 2.4 black voxel inclusion.
Our algorithm consists of two steps: (1) the coarse positioning step is used to obtain the cluster which the user belongs to; and (2) the fine positioning step is utilized to calculate the accurate coordinates of the user.
Our algorithm consists of initialization with the prototype of a near-orthogonal FB which can also be designed via convex optimization and then successive optimization of the synthesis and analysis prototypes.
Our algorithm consists of the four main steps (cf. Figure 2) presented in detail below, followed by the automatic color quality assessment described in Section 4. The first step is the application of a codebook-based color reduction (cf. Figure 3b).
Figure 1a illustrates our algorithm, consisting of three phases: (1) selection of the reference parameter sets, (2) one-dimensional sensitivity analysis – determination of sensitive parameters and (3) two-dimensional sensitivity analysis – investigation of parameter surface.
Our algorithm consisted of 4 DNA targets: the pertactin (prn) gene, the first gene in the pertussis toxin operon and its respective promoter (ptxP- ptxS1), and the fimbrial protein-encoding gene (fim3).
Our algorithm consisted of three main components (in order) for automated counting: 1) Image thresholding: Original images were read into the algorithm, and through use of the Matlab® command graythresh, Otsu's method for global thresholding [ 13] was applied for selection of a threshold level used to convert the original image into a binary image.
Our search algorithm consists of a sequence of random walks around the space of sums of epistatic effects.
Our proposed algorithm consists of a particular combination of two vectors obtained by applying a designed routine of QRS detection process using 'haar' and 'db10' wavelet functions respectively.
