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(a) Original image; (b) Ground truth; (c) Classification results based on Barnes decomposition; (d) Classification results based on Kernel KSVD [S] decomposition.

(a) Original image; (b) Ground truth; (c) Classification results based on FourComponent decomposition; (d) Classification results based on Kernel KSVD [S] decomposition.

From Table3, the decomposition based on Kernel KSVD again achieves much better performance than decompositions based on scattering mechanisms under matrix [S], [C] and [T], respectively.

Additionally, PDF estimators based on kernel functions are also developed.

However, some other feature extraction methods have put forward new ways which are based on kernels.

A method for the reconstruction of 2-D profiles based on kernelized extreme learning machine (ELM) is presented, and quantum genetic algorithm (QGA) is adopted to optimize the cost parameter C and kernel parameter γ of kernelized ELM.

Based on reproducing kernel theory, reproducing kernel functions with polynomial form will be constructed in the reproducing kernel spaces spanned by the Chebyshev basis polynomials.

To this end, we first define the local kernel alignment based on centralized kernel alignment.

Reeves and Vanderpool (1997) estimated a daily intake of 36 µg of Cd among frequent consumers of sunflower kernels based on Cd measured in duplicate food samples.

A kernel optimization method based on fusion kernel for high-resolution range profile (HRRP) is proposed in this paper.

Then, the MSVM is constructed based on Gauss kernel support vector machine (SVM) and polynomial kernel SVM.