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Improving the kernel regularized least squares method for small-sample regression
(ElsevierAmsterdam, 2015-09)
The kernel regularized least squares (KRLS) method uses the kernel trick to perform non-linear regression estimation. Its performance depends on proper selection of both a kernel function and a regularization parameter. ...
Scalable and interpretable kernel methods based on random Fourier features
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2023-03-29)
Kernel methods are a class of statistical machine learning models based on positive semidefinite kernels, which serve as a measure of similarity between data features. Examples of kernel methods include kernel ridge ...
Kernel Penalized K-means: A feature selection method based on Kernel K-means
(Elsevier, 2015)
We present an unsupervised method that selects the most relevant features using an embedded strategy while maintaining the cluster structure found with the initial feature set. It is based on the idea of simultaneously ...
Observations on morphological associative memories and the kernel method
(Elsevier Science BvAmsterdamHolanda, 2000)
Visualizing And Interacting With Kernelized Data
(IEEE Computer SocLos Alamitos, 2016)
Inducing Contextual Classifications with Kernel Functions into Support Vector Machines
(2018-06-01)
Kernel functions have revolutionized theory and practice in the field of pattern recognition, especially to perform image classification. Besides giving rise to nonlinear variants of the well-known support vector machine ...
Generalized convolution roots of positive definite kernels on complex spheres
(National Academy of Sciences of Ukraine, Institute of MathematicsKyiv, 2015)
Convolution is an important tool in the construction of positive definite kernels on a manifold. This contribution provides conditions on an 'L POT.2'-positive definite and zonal kernel on the unit sphere of 'C POT.Q' in ...
An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm
(Institute of Electrical and Electronics Engineers Inc., 2019)
A lot of image processing research works focus on natural images, such as in classification, clustering, and the research on the recognition of artworks (such as oil paintings), from feature extraction to classifier design, ...
Assessment of macadamia kernel quality defects by means of near infrared spectroscopy (NIRS) and nuclear magnetic resonance (NMR)
(2019-12-01)
Macadamia kernels are visually sorted based on the presence of quality defects by specialized labors. However, this process is not as accurate as non-destructive methods such as near infrared spectroscopy (NIRS) and nuclear ...