Buscar
Mostrando ítems 1-10 de 912
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 ...
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 ...
Observations on morphological associative memories and the kernel method
(Elsevier Science BvAmsterdamHolanda, 2000)
A Novel Method for Generating Scale Space Kernels Based on Wavelet TheoryA Novel Method for Generating Scale Space Kernels Based on Wavelet Theory
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2008)
Region-based classification of PolSAR data through kernel methods and stochastic distances
(2018-01-01)
Stochastic distances combined with Minimum Distance method for region-based classification of Polarimetric Synthetic Aperture Radar (PolSAR) image was successfully verified in Silva et al. (2013). Methods like K-Nearest ...
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 ...
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 ...