Identification of the nonlinear systems based on the kernel functions
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5646
Abstract: Constructing an appropriate membership function is significant in fuzzy logic control. Based on the multi‐model control theory, this article constructs a novel kernel function which can implement the fuzzification and defuzzification processes and reflect the… read more here.
Keywords: systems based; nonlinear systems; identification nonlinear; kernel functions ... See more keywords
HIKER: a halo-finding method based on kernel-shift algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/20/4/46
Abstract: We introduce a new halo/subhalo finder, HIKER (a Halo fInder based on KERnel-shift algorithm), which takes advantage of a machine learning method -- the mean-shift algorithm combined with the Plummer kernel function, to effectively locate… read more here.
Keywords: shift algorithm; hiker; based kernel; kernel shift ... See more keywords
Linear Discriminant Analysis Based on Kernel-Based Possibilistic C-Means for Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2894470
Abstract: In this mymargin letter, we propose a novel supervised dimensionality reduction (DR) method termed linear discriminant analysis based on kernel-based possibilistic c-means (LDA-KPCM) for hyperspectral images (HSIs). The basic idea of this method is to… read more here.
Keywords: kernel based; linear discriminant; based kernel; discriminant analysis ... See more keywords
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3227727
Abstract: Numerous real-life systems exhibit complex nonlinear input-output relationships. Kernel adaptive filters, a popular class of nonlinear adaptive filters, can efficiently model these nonlinear input-output relationships. Their growing network structure, however, poses considerable challenges in terms… read more here.
Keywords: random fourier; based kernel; adaptive filters; kernel adaptive ... See more keywords
Ising-Based Kernel Clustering
Sign Up to like & getrecommendations! Published in 2023 at "Algorithms"
DOI: 10.3390/a16040214
Abstract: Combinatorial clustering based on the Ising model is drawing attention as a high-quality clustering method. However, conventional Ising-based clustering methods using the Euclidean distance cannot handle irregular data. To overcome this problem, this paper proposes an… read more here.
Keywords: matrix; based kernel; ising based; kernel clustering ... See more keywords
Nonlinear Regression Estimation Using Subset-Based Kernel Principal Components
Sign Up to like & getrecommendations! Published in 2018 at "Statistica Sinica"
DOI: 10.5705/ss.202016.0369
Abstract: We study the estimation of conditional mean regression functions through the so-called subset-based kernel principal component analysis (KPCA). Instead of using one global kernel feature space, we project a target function into different localized kernel… read more here.
Keywords: subset based; estimation; regression; based kernel ... See more keywords