Extracting spatial–spectral joint features has become a critical approach for improving model classification performance in the field of hyperspectral image classification (HSIC). However, existing ...

Lookup tables and Taylor series are two common methods for interpolating between experimentally gathered data or for generating a known function such as a sine wave. This article proposes a third ...

The distributed nonlinear adaptive graph filter (DNAGF) is developed with the single nonlinear graph filter model (NGFM) to handle streaming datasets. However, the current DNAGFs tend to underperform ...

W. G. Cochran, Experiments for Nonlinear Functions, Journal of the American Statistical Association, Vol. 68, No. 344 (Dec., 1973), pp. 771-781 ...

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

A Feynman Path Centroid Dynamics Approach For The Computation Of Time Correlation Functions Involving Nonlinear Operators. The Journal of Chemical Physics 2000, 113, 919–929.