Sentence examples for methods which adopt from inspiring English sources

Compared with the traditional methods, which adopt largely discrete database tables or polynomial method, the presented method is more concise, accurate and robust.

In addition, there have been proposed several inpainting methods which adopt the combined use of the structure and texture reconstruction approaches[20, 42].

KMeansKGRank, SCKGRank, and AFKGRank are our methods which adopt K-Means, spectral clustering and affinity propagation as the corresponding clustering algorithm, respectively.

In the following, we examine the recent methods which adopt the approach of quantifying a single artifact for perceptual quality estimation.

On the other hand, in the methods which adopt probability models, it becomes feasible to adaptively estimate the distribution from the statistic characteristic of the estimation target.

The approach is based upon probabilistic methods which adopt stated simple geometric packing arrangements to represent the solid structure in the extreme density states.

As can be observed from Figure11, the throughput of nrtPS of the original method was lower than that of the other three methods which adopted the first-stage scheduling.

In this paper, we present an implementation of log replication and database recovery methods, which adopts the idea of piggybacking, i.e., commit point can be embedded in the commit logs.

The influences of parameters of slab-column structure-raft foundation soil model of a practical engineering are carried using three methods of analysis: time history analysis with a suite of nine time history records, the ESL and the response spectrum methods, which adopted in the Egyptian code for load and forces (ECP-201; 2008).

In order to assess the predictive quality, we compared our method with 9 other existing methods which adopted various predicted structural features.

The proposed NNFLE method, which adopts a nearest neighbor selection strategy, is capable of alleviating extrapolation/interpolation inaccuracies, singular problem, and high computation complexity.