Sentence examples for matrices that perform from inspiring English sources

Although, many efforts have been made to develop methods for the decomposition into low-rank plus additive matrices that perform visually well in foreground detection with reducing their computational cost, no algorithm today seems to emerge and to be able to simultaneously address all the key challenges that accompany real-world videos.

The 3D rotation matrix used in the transformation, R Total, is given by which is a result of three successive rotations, such that R Total = R x R y R z, where R x, R y and R z are the rotation matrices that perform a counterclockwise rotation about the subscripted axis and ψ, θ, and φ are, respectively, the calibrated orientation angles yaw, pitch and roll (Euler angles).

where D is the (mathcal {T}times mathcal {T}) matrix that performs the linear filtering on X S to generate the delta features.

Consequently, the speech features y affected by convolution can be formulated as y≈H x, where H is a filter matrix that performs convolution on the supervector x constructed from clean speech features.

However, in Figure 4(c), the matrix that performs phase-shift implementation in the RF domain essentially serves as a -to- switch with output streams.

Within this framework we describe the properties of a context-dependent neural model, based on matrix associative memories, that performs goal-oriented linguistic behavior.

This gave a final 68-variable X-matrix (Table 2) that performed well, accounting for approximately 70% of the variation in the data by just two PLS components (53 and 15% by the first and second PLS components, respectively).

In the category of scaffolds, A. M. Eweida and M. K. Marei reviewed the online published literature for the studies that performed extracellular matrix (ECM) revitalization believing that, in chronic and difficult-to-heal wounds, revitalizing the ECM scaffolds would be beneficial to overcome the defective host tissue interaction.

Using NVIDIA's CUDA platform we have implemented a Wilson Dirac sparse matrix vector product that performs at up to 40, 135 and 212 Gflops for double, single and half precision respectively on NVIDIA's GeForce GTX 280 GPU.

Alternatives to silica, such as polymeric matrixes, that can perform RPLC at a wider range of pH values (silica is limited to pH 2 8) would also be of interest.

This improves the estimation of the covariance matrix that is performed in TLS-ESPRIT algorithm.