Sentence examples for method by decomposing from inspiring English sources

Since the optimization problem is separable, it can be efficiently solved using the Lagrange dual decomposition method by decomposing the original problem into three subproblems, depending on the decoding strategies applied at the SU.

Mansfield et al. [12] proposed a scene carving method, by decomposing the image retargeting procedure into removing image content with minimal distortion and re-arrangement of known objects within the scene to maximize their visibility.

Mansfield et al. [21] proposed a scene-carving method, by decomposing the image-retargeting procedure into removing image content with minimal distortion and re-arrangement of known objects within the scene to maximize their visibility.

This study attempts to propose a simple and cost-efficient method by decomposing a stochastic updating process into a series of deterministic ones with the aid of response surface models and Monte Carlo simulation.

In a regularization method, by decomposing the potential function into two or three components, the singular component can be analytically represented by the Green's function, while other components possess a higher regularity.

The indirect-enforcing method is derived by decomposing whole system motion into free structural motion and constrained base motion, with the structural motion divided into two parts to simplify the input of base motion.

For example, popular Fourier-based methods detect periodicity by decomposing gene expression profiles into a series of sine curves.

NMFD lends itself naturally to dereverberation; [15, 16] describe methods for blind dereverberation by decomposing the reverberated spectrum into a clean spectrum convolved with a filter, while constraining the properties of the speech spectrum.

A new method of identifying modal parameters by decomposing response signals with Gabor transform is presented in this paper to estimate natural frequencies, damping ratios and mode shapes of linear time invariant systems.

The wavelet method can avoid these defects by decomposing the series in scale and frequency simultaneously.

We demonstrate that our method can address this challenge by decomposing the reverse engineering problem into modules, where two steps are involved: the gene expression data is clustered into modules with biological significances to reduce the problem dimensionality, and the network is built based on the expression profiles of modules.