Zobrazeno 1 - 10
of 24
pro vyhledávání: '"LIWANG DING"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1119-1133 (2020)
In high-resolution remote sensing image retrieval (HRRSIR), convolutional neural networks (CNNs) have an absolute performance advantage over the traditional hand-crafted features. However, some CNN-based HRRSIR models are classification-oriented, the
Externí odkaz:
https://doaj.org/article/dc4ac7947cef412990ace5bc01e8b5ff
Publikováno v:
Journal of Inequalities and Applications, Vol 2018, Iss 1, Pp 1-12 (2018)
Abstract In this paper, the authors investigate the Berry-Esseen bounds of weighted kernel estimator for a nonparametric regression model based on linear process errors under a LNQD random variable sequence. The rate of the normal approximation is sh
Externí odkaz:
https://doaj.org/article/51bee823c14745e5b3e181149d4cd74a
Autor:
Liwang Ding, Yongming Li
Publikováno v:
Journal of Inequalities and Applications, Vol 2016, Iss 1, Pp 1-12 (2016)
Abstract In this paper, considering the nonparametric regression model Y n i = g ( t i ) + ε i $Y_{ni}=g(t_{i})+\varepsilon_{i}$ ( 1 ≤ i ≤ n $1\leq i\leq n$ ), where ε i = ∑ j = − ∞ ∞ a j e i − j $\varepsilon_{i}=\sum_{j=-\infty}^{\in
Externí odkaz:
https://doaj.org/article/89947846810e4891a1742aa8342d33b3
Autor:
LIWANG DING, CAOQING JIANG
Publikováno v:
Journal of Mathematical Inequalities; Dec2023, Vol. 17 Issue 4, p1259-1274, 16p
Autor:
Liwang Ding, Ping Chen
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a13eb6a252cf9e0167e6667085f2b53
https://doi.org/10.1080/03610918.2022.2039395
https://doi.org/10.1080/03610918.2022.2039395
Autor:
Ping Chen, Liwang Ding
Publikováno v:
Lithuanian Mathematical Journal. 61:13-36
We investigate the heteroscedastic regression model Yni = g(xni) + σnieni, i = 1, . . . , n, where $$ {\sigma}_{ni}^2 $$ = f(uni), (xni, uni) are known fixed design points, g and f are unknown functions, and the errors eni are assumed to form a stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::468081ec9dea526461bd70628eb1e541
https://doi.org/10.1007/s10986-021-09508-x
https://doi.org/10.1007/s10986-021-09508-x
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:7872-7889
In the field of content-based remote sensing (RS) image retrieval, convolutional neural networks (CNNs) have been demonstrating overwhelming superiority among other methods in terms of performance. CNNs are basically trained in a supervised way, requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0725cfb9f55ed370e532e34f454c9f
https://doi.org/10.1109/tgrs.2020.2984703
https://doi.org/10.1109/tgrs.2020.2984703
Autor:
Ping Chen, Liwang Ding
Publikováno v:
Journal of Nonparametric Statistics. 32:940-969
This paper is concerned with the estimating problem of heteroscedastic semiparametric regression model. We investigate the asymptotic normality for wavelet estimators of the slope parameter and the...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1196e4ac8ce2cbcdc72cfac653bf92e9
https://doi.org/10.1080/10485252.2020.1834553
https://doi.org/10.1080/10485252.2020.1834553
Publikováno v:
Neurocomputing. 405:48-61
For the past few years, convolutional neural networks (CNNs) have played a dominant role in content-based remote sensing image retrieval (CBRSIR) because of their markedly superior performance. However, most of the CNN models used for CBRSIR were ori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d244de8e7b4d18b6b50fb5b0f78f5753
https://doi.org/10.1016/j.neucom.2020.04.038
https://doi.org/10.1016/j.neucom.2020.04.038
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:6699-6721
In recent years, convolutional neural networks (CNNs) have become the predominant method for content-based aerial image retrieval (CBAIR) and aerial scene classification (ASC) due to their overwhelming performance advantages. However, existing CNN-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb36872ce1e8ff08587555963cbe164
https://doi.org/10.1109/tgrs.2020.2979011
https://doi.org/10.1109/tgrs.2020.2979011