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Observations on morphological associative memories and the kernel method
(Elsevier Science BvAmsterdamHolanda, 2000)
Does kernel position on the cob affect zeaxanthin, lutein and total carotenoid contents or quality parameters, in zeaxanthin-biofortified sweet-corn?
(2019-03-30)
Influence of kernel position on zeaxanthin, lutein, total carotenoid (TC) and quality parameters was evaluated in a zeaxanthin-biofortified and a commercial yellow sweet-corn. Cobs were harvested at six different maturity ...
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 ...
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 ...
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 ...
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, ...
A kernel-based optimum-path forest classifier
(2018-01-01)
The modeling of real-world problems as graphs along with the problem of non-linear distributions comes up with the idea of applying kernel functions in feature spaces. Roughly speaking, the idea is to seek for well-behaved ...
Visualizing And Interacting With Kernelized Data
(IEEE Computer SocLos Alamitos, 2016)