Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ruiqiang He"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Residual histograms can provide meaningful statistical information in low-level visual research. However, the existing image denoising methods do not deeply explore the potential of alternate multiple residual histograms for overall optimiza
Externí odkaz:
https://doaj.org/article/79cdc728e92d4e728b7962ee2199c328
Publikováno v:
Complexity, Vol 2022 (2022)
Spatial predator-prey models have been studied by researchers for many years, because the exact distributions of the population can be well illustrated via pattern formation. In this paper, amplitude equations of a spatial Holling–Tanner predator-p
Externí odkaz:
https://doaj.org/article/3ca65969c6bc42028eaa791ec5833c6a
Publikováno v:
Complexity, Vol 2021 (2021)
One of the most efficient predator-prey models with spatial effects is the one with ratio-dependent functional response. However, there is a need to further explore the effects of spatial motion on the dynamic behavior of population. In this work, we
Externí odkaz:
https://doaj.org/article/9da399bf14b248e5a7853875ef020ffb
Publikováno v:
Energy & Fuels. 36:4153-4173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d74796a2e669b7296f0055a77b88b214
https://doi.org/10.1021/acs.energyfuels.1c04444
https://doi.org/10.1021/acs.energyfuels.1c04444
Publikováno v:
Applied Thermal Engineering. 227:120383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1aeb008a40f3ba7478d533fded812c8
https://doi.org/10.1016/j.applthermaleng.2023.120383
https://doi.org/10.1016/j.applthermaleng.2023.120383
Publikováno v:
Journal of Industrial & Management Optimization. 17:1235-1252
Subspace clustering segments a collection of data from a union of several subspaces into clusters with each cluster corresponding to one subspace. The geometric information of the dataset reflects its intrinsic structure and can be utilized to assist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7ef96333750ecd3b51117a778820b76
https://doi.org/10.3934/jimo.2020019
https://doi.org/10.3934/jimo.2020019
Publikováno v:
Neurocomputing. 407:175-184
The least square regression (LSR) is a popular framework for multicategory classification because it has simple mathematical formulation and efficient solution. The classification performance of LSR based methods depends heavily on the discriminative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44781e2a0c141093518345888adebc55
https://doi.org/10.1016/j.neucom.2020.05.016
https://doi.org/10.1016/j.neucom.2020.05.016
Publikováno v:
Neurocomputing. 371:108-123
The Wasserstein distance originated from the optimal transport theory is a general and flexible statistical metric in a variety of image processing problems. In this paper, we propose a novel Wasserstein driven low-dimensional manifold model (W-LDMM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f91e19980a745f7058af956057f1ab3
https://doi.org/10.1016/j.neucom.2019.08.088
https://doi.org/10.1016/j.neucom.2019.08.088
Publikováno v:
Information Sciences. 487:77-83
Stochastic Configuration Networks (SCNs) can be incrementally constructed by using supervisory mechanisms on the selection of random weights and biases. Due to its ease in implementation, fast training and less human intervention, SCNs become increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::694def9739616ca8b84204028fd4bf38
https://doi.org/10.1016/j.ins.2019.02.066
https://doi.org/10.1016/j.ins.2019.02.066
Publikováno v:
IET Image Processing. 13:83-88
In the fusion process of medical computed tomography (CT) and magnetic resonance image (MRI), traditional multiscale methods often reduce the contrast of fused images. Although sparse representation (SR) methods overcome this shortcoming, they are of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b725690a9a7a52d9c65f2317bc523e4b
https://doi.org/10.1049/iet-ipr.2018.5720
https://doi.org/10.1049/iet-ipr.2018.5720