Sentence examples for method of kernel from inspiring English sources

In this paper, we proposed a novel image recognition method of kernel common discriminant based image classification.

We used historical fire ignition for 1966 2005 and the statistical method of Kernel Density Estimation to derive fire-occurrence density (number of fires/km2).

The method of kernel matching was used to combine and analyze information on children from the KLoWF and the child care environment as well as on child-rearing expenses from the PSKC.

The present study combines the information on childbirth trajectories from KLoWF, with information on child-rearing expenses from PSKC, and merges the information into a single dataset using the method of kernel matching.

The method of kernel matching was used to combine and analyze the information on the age of women and intend of childbirths from the KLoWF and child care environment and the child-rearing costs from the PSKC.

In this paper, the method of kernel principal component analysis (KPCA) feature extraction and the support vector machine (SVM) classification algorithm are applied to identify and classify the multiple statuses of through-wall human being detection.

The method of anisotropic kernel [33] generates high quality surfaces, but its volume is reduced and small bumps become evident as soon as the surface is magnified.

We apply the method of reproducing kernel to show that the existence of such formulae attaining the best known lower bound is equivalent to the existence of tight spherical 5-designs.

The hardness index was measured by the SKCS method, which is the current reference method for determination of kernel texture for wheat [ 56].

To sum up, commutative algebra provides an approach to solve the approximate vanishing ideal, and the VCA method uses an ideal space dual to kernel space, thus becoming a dual algorithm of kernel method.

Lastly, the method we have proposed belongs to a large general class of kernel methods (Schölkopf et al., 2004), so we know that its performance can be potentially improved by using more sophisticated or biologically relevant kernel similarity functions designed for genomic sequences (Saigo et al., 2004) and chemical structures (Mahe et al., 2006).