1) dual regression 对偶回归1. The dual regression method was used,along with relevant factors,for analysing a total of 324 sample plots with site-index value data of Chinese fir and Masson pine in Xuefeng mountain area. 应用对偶回归分析法,结合相关系数分析,对雪峰山地区324块同时具有杉木和马尾松...
The dual-regression (DR) retrieval algorithm is a fast computational procedure designed to maximize the information content; minimize the propagation of noise; and retrieve the most probable atmospheric profiles, cloud properties, and surface properties from satellite-observed high-spectral-resolution ...
1) dual regression 双重回归 2) double regression sampling 双重回归抽样 3) double 双重 1. Discussing the management baseed ondoublecapability of medical equipmnet; 论医疗设备的双重能本管理 2. This article,analyzes this novel in the perspective of fable-type novels,and tries to digs out thedouble...
If you use dual regression in your research, please make sure that you reference at least one of the articles listed below. For your convenience, we provide example text, which you are welcome to use in your methods description. "The set of spatial maps from the group-average analysis was ...
cvpr2020中的论文:Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution论文连接代码连接论文摘要:抛出了SISR中的两个限制: 1.学习从LR到HR图像的映射函数是一个典型的不适定问题…
《Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution》 从LR映射到HR是一个不适定问题,而且在现实中不容易获取大量的LR-HR成对的训练数据,且LR的退化方法是未知的。现有的超分辨方法还存在过拟合问题,导致在实际应用中性能低下。基于这些问题,该文章作者提出了双支路的回归网络,将LR...
The fMRI data were analyzed using multisubject independent component analysis and dual regression. We compared networks of interest among the groups using a ... Poudel,R Govinda,Egan,... - 《Journal of Psychiatry & Neuroscience》 被引量: 58发表: 2014年 k-t FASTER: Acceleration of functional ...
Hi. I am writing a C-RNN regression learning code with single matrix input - dual scalar output. The loaded "paddedData2.mat" file is saved as paddedData, and it is stored as an N X 3 cell, as shown in the attached image. The input matrix used for training is the 3rd colum...
本文提出了一种基于双重回归网络的闭环超分辨率方法。该方法通过在低分辨率图像和高分辨率图像之间建立闭环,使得网络可以从中学习到更多的信息,从而提高超分辨率的效果。实验结果表明,该方法在多个数据集上都取得了优秀的表现。点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 ...
To combine the advantages of these two kinds of regression-based methods, this paper presents a dual robust regression framework (DualRR) for pattern classification. In the training stage, a double low-rank robust regression model (DLR) is proposed to learn the projection matrix. In DLR, low-...