Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Gaohang Yu"'
Publikováno v:
AIMS Mathematics, Vol 6, Iss 2, Pp 1515-1537 (2021)
In recent years, the amount of available data is growing exponentially, and large-scale data is becoming ubiquitous. Machine learning is a key to deriving insight from this deluge of data. In this paper, we focus on the large-scale data analysis, esp
Externí odkaz:
https://doaj.org/article/fc37ba4dd22344e4a6850136e0d4c8ba
Publikováno v:
Symmetry, Vol 11, Iss 10, p 1277 (2019)
The nuclear norm minimization (NNM) problem is to recover a matrix that minimizes the sum of its singular values and satisfies some linear constraints simultaneously. The alternating direction method (ADM) has been used to solve this problem recently
Externí odkaz:
https://doaj.org/article/a4ee87fcb2c54a76bd59ef47de4844ae
Autor:
Jiaojiao Li, Shanzhou Niu, Jing Huang, Zhaoying Bian, Qianjin Feng, Gaohang Yu, Zhengrong Liang, Wufan Chen, Jianhua Ma
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0140579 (2015)
Statistical iterative reconstruction (SIR) for X-ray computed tomography (CT) under the penalized weighted least-squares criteria can yield significant gains over conventional analytical reconstruction from the noisy measurement. However, due to the
Externí odkaz:
https://doaj.org/article/8ea1ec45215441049251169933996e57
Publikováno v:
Abstract and Applied Analysis, Vol 2015 (2015)
Externí odkaz:
https://doaj.org/article/9a3189d299a54f7da0f29886586e441b
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
Externí odkaz:
https://doaj.org/article/676f656254264042a299148b8e2a2af5
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
Combining multivariate spectral gradient method with projection scheme, this paper presents an adaptive prediction-correction method for solving large-scale nonlinear systems of monotone equations. The proposed method possesses some favorable propert
Externí odkaz:
https://doaj.org/article/a3bb2764782342c98588c1a9862397b0
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
This paper presents a hybrid spectral conjugate gradient method for large-scale unconstrained optimization, which possesses a self-adjusting property. Under the standard Wolfe conditions, its global convergence result is established. Preliminary nume
Externí odkaz:
https://doaj.org/article/b42718b9f19b4924a76149708117b8c0
Publikováno v:
Statistics, Optimization & Information Computing; Jul2024, Vol. 12 Issue 4, p1061-1075, 15p
Publikováno v:
Statistics, Optimization & Information Computing; Mar2024, Vol. 12 Issue 2, p530-546, 17p
Publikováno v:
IET Image Processing. 17:1762-1774