Results 71 to 80 of about 1,581,096 (371)

Spatial-Spectral Graph Regularized Kernel Sparse Representation for Hyperspectral Image Classification

open access: yesISPRS International Journal of Geo-Information, 2017
This paper presents a spatial-spectral method for hyperspectral image classification in the regularization framework of kernel sparse representation. First, two spatial-spectral constraint terms are appended to the sparse recovery model of kernel sparse ...
Jianjun Liu   +3 more
doaj   +1 more source

Kernel Mean Shrinkage Estimators [PDF]

open access: yes, 2016
A mean function in a reproducing kernel Hilbert space (RKHS), or a kernel mean, is central to kernel methods in that it is used by many classical algorithms such as kernel principal component analysis, and it also forms the core inference step of modern ...
Fukumizu, Kenji   +4 more
core   +2 more sources

NLO Corrections to the kernel of the BKP-equations

open access: yes, 2012
We present results for the NLO kernel of the BKP equations for composite states of three reggeized gluons in the Odderon channel, both in QCD and in N=4 SYM.
Bartels, J.   +3 more
core   +1 more source

A tutorial on kernel density estimation and recent advances [PDF]

open access: yes, 2017
This tutorial provides a gentle introduction to kernel density estimation (KDE) and recent advances regarding confidence bands and geometric/topological features.
Yen-Chi Chen
semanticscholar   +1 more source

On Ozawa kernels

open access: yesJournal of Functional Analysis, 2007
17 ...
openaire   +3 more sources

Multiple Kernel k-means with Incomplete Kernels [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Multiple kernel clustering (MKC) algorithms optimally combine a group of pre-specified base kernel matrices to improve clustering performance. However, existing MKC algorithms cannot efficiently address the situation where some rows and columns of base kernel matrices are absent.
Liu, Xinwang   +9 more
openaire   +4 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Correlation and path coefficient analysis among grain yield and kernel characters in rice (Oryza sativa L.) [PDF]

open access: yesElectronic Journal of Plant Breeding, 2015
An investigation was carried out using 43 rice genotypes including 30 hybrids and 13 parents for grain yield and kernel characters to understand the association among yield components and their direct and indirect influence on the grain yield.
Premkumar, R, Gnanamalar, R.P and C.R. Anandakumar
doaj  

Application of Boiler Fly Ash for Oil Palm Kernel Separation in Claybath

open access: yesJurnal Teknik Pertanian Lampung, 2022
The burning of shells and fiber as boiler fuel in palm oil mills produces waste in the form of ash which is not utilized and managed optimally, resulting in environmental damage.
Zulham Effendi   +2 more
doaj   +1 more source

Green kernels associated with Riesz kernels

open access: yesAnnales Academiae Scientiarum Fennicae Mathematica, 2018
We study properties of the $\alpha$-Green kernel of order ...
Fuglede, Bent, Zorii, Natalia
openaire   +3 more sources

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