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A LINEAR SAMPLING METHOD FOR INVERSE ACOUSTIC SCATTERING BY A LOCALLY ROUGH INTERFACE 期刊论文
INVERSE PROBLEMS AND IMAGING, 2021, 卷号: 15, 期号: 5, 页码: 1247-1267
作者:  Li, Jianliang;  Yang, Jiaqing;  Zhang, Bo
收藏  |  浏览/下载：160/0  |  提交时间：2021/10/26
locally rough interface  Lippmann-Schwinger integral equation  the linear sampling method  Inverse acoustic scattering  
An efficient algorithm to compute the X-ray transform 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2021, 页码: 19
作者:  Chen, Chong;  Wang, Runqian;  Bajaj, Chandrajit;  Oktem, Ozan
收藏  |  浏览/下载：102/0  |  提交时间：2022/04/02
X-ray transform  intersection length  projection matrix  non-vanishing intersectability  ambiguity and flexibility  tomographic image reconstruction  
Variational inequality transport model on the sphere by the active-set reduced-space algorithm 期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2021, 卷号: 260, 页码: 10
作者:  Yang, Haijian;  Yang, Chao;  Huang, Jizu
收藏  |  浏览/下载：126/0  |  提交时间：2021/04/26
Transport problem on the sphere  Variational inequality  Parallel computing  Fully implicit scheme  Active-set reduced-space method  
Towards understanding residual and dilated dense neural networks via convolutional sparse coding 期刊论文
NATIONAL SCIENCE REVIEW, 2021, 卷号: 8, 期号: 3, 页码: 13
作者:  Zhang, Zhiyang;  Zhang, Shihua
收藏  |  浏览/下载：145/0  |  提交时间：2021/10/26
convolutional neural network  convolutional sparse coding  residual neural network  mixed-scale dense neural network  dilated convolution  dense connection  
An occlusion-resistant circle detector using inscribed triangles 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 109, 页码: 15
作者:  Zhao, Mingyang;  Jia, Xiaohong;  Yan, Dong-Ming
收藏  |  浏览/下载：163/0  |  提交时间：2021/01/14
Circle detection  Inscribed triangle  Parameter estimation  Hough transform  
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model 期刊论文
JOURNAL OF MACHINE LEARNING RESEARCH, 2021, 卷号: 22, 页码: 39
作者:  Hao, Meiling;  Qu, Lianqiang;  Kong, Dehan;  Sun, Liuquan;  Zhu, Hongtu
收藏  |  浏览/下载：170/0  |  提交时间：2021/10/26
High dimension  Imaging genetics  Matrix linear regression  Optimal mini-max rate  Variable selection