看到一个很有趣的回归模型,叫做dual regression(我觉得翻译成“对偶回归”比“二元回归”要好,书上的翻译前后不一致,网上也查不到该方法的翻译版本),这里简单总结下。想了解细节建议翻书 Computer vision:…
We propose an alternative (`dual regression') to the quantile regression process for the global estimation of conditional distribution functions under minimal assumptions. Dual regression provides all the interpretational power of the quantile regression process while largely avoiding the need for `...
Thedes_normoption determines whether to variance-normalise the timecourses created by stage 1 of the dual regression; it is these that are used as the regressors in stage 2. If you don't normalise them, then you will only test for RSN "shape" in your cross-subject testing. If you do ...
cvpr2020中的论文:Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution 论文连接arxiv.org/pdf/2003.07018.pdf 代码连接github.com/guoyongcs/DRN 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,因为存在无限个HR图像可以下采样到相...
Wesołowski, Three dual regression schemes for the Lukacs theorem, Metrika 56 (1) (2002) 43-54.Bobecka K, Wesolowski J (2002) Three dual regression schemes for the Lukacs theorem. Metrika 56:43-54Bobecka K, Wesolowski J (2002) Three dual regression schemes for the Lukacs theorem. ...
Actions Projects Security Insights Additional navigation options master BranchesTags Code README MIT license Pytorch implementation for "Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution". Important Update We released the code and models of ourDual Regression Compression (DRC)...
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 The impact of "physiological correction"...
Because of the trouble to select the best formula and the bad precision, the multiple linear regression model was proposed. 然后,根据三个经验公式形式上的特点,针对1000kV的电压等级,建立计算特高压交流输电线下可听噪声的多元线性回归模型,并且通过一系列检验证明模型的正确性与准确性。 更多例句>> 补充...
In this paper, we propose a method to transform features of different signals into different regression values, and use these values to distinguish different signals. The contributions of proposed method are described as follow: Firstly, we design a dual-input neural network to fuse and map the ...
Support Vector Regression - Support Vector Regression Dual https://www.youtube.com/playlist?list=PLXVfgk9fNX2IQOYPmqjqWsNUFl2kpk1U2 Machine Learning Techniques (機器學習技法)