Sentence examples for based methods have shown from inspiring English sources

Spatio-temporal interest point (STIP) based methods have shown promising results to tackle human action classification in complex scenes efficiently.

Although plant extracts based methods have shown success in faster synthesis of gold and silver nanostructures but it is not fast enough to compete with the chemical methods [23, 24].

For example, recent applications of molecular based methods have shown that individual pine seedlings can support several genotypes of Hebeloma cylindrosporum, and a typical m2 of forest floor contained ∼9 genotypes of this species [28], [29].

and some microarray based methods have shown significantly improved consistency [ 17– 21] and predictive value for aneuploidy diagnosis [ 22, 23].

The patch-based methods have shown the best synthesis results up to now.

While model-based methods have shown interesting robustness against view changes or occlusions [13, 14], they are usually high demanding computationally.

It can be seen from Table 1 that among the recognition systems that work on complete text lines, implicit segmentation-based methods have shown impressive recognition rates.

Transcriptional signal-based methods have shown their prowess in predicting sRNAs, even in gram-positive bacteria.

Echocardiographic-based methods have shown acute hemodynamic benefits, but long-term clinical benefit remains to be assessed.

Furthermore, several genotype-based methods have shown that learning local structure from multi-population reference panels improves performance even in the case of homogenous study populations (Howie et al., 2009; Pasaniuc et al., 2013).

Blind source separation (BSS) based methods have been shown to be efficient and powerful to perform output-only modal identification.