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[期刊论文] 作者：Wanzhou Ye,Zhao Liao,
来源：离散数学期刊(英文) 年份：2012
The generalized correlativity of input signal and output signal of a stack filtering operator is defined and used for numerously measuring these filtering opera...
[期刊论文] 作者：Jing Liu,Wanzhou Ye,
来源：理论数学进展(英文) 年份：2020
In this paper, we research the regression problem of time series data from heterogeneous populations on the basis of the finite mixture regression model. We pro...
Adaptive Sparse Group Variable Selection for a Robust Mixture Regression Model Based on Laplace Dist
[期刊论文] 作者：Jiangtao Wang,Wanzhou Ye,
来源：理论数学进展(英文) 年份：2020
The traditional estimation of Gaussian mixture model is sensitive to heavy-tailed errors;thus we propose a robust mixture regression model by assuming that the...
Continuous Iteratively Reweighted Least Squares Algorithm for Solving Linear Models by Convex Relaxa
[期刊论文] 作者：Xian Luo,Wanzhou Ye,
来源：理论数学进展(英文) 年份：2019
In this paper, we present continuous iteratively reweighted least squares algorithm (CIRLS) for solving the linear models problem by convex relaxation, and prov...
[期刊论文] 作者：Sisu Li,Wanzhou Ye,
来源：理论数学进展(英文) 年份：2017
This paper presents an accurate and efficient algorithm for solving the generalized elastic net regularization problem with smoothed l0 penalty for recovering s...
[期刊论文] 作者：Ning Mao,Wanzhou Ye,
来源：理论数学进展(英文) 年份：2017
Considering the problem of feature selection in linear regression model, a new method called LqCP is proposed simultaneously to select variables and favor a gro...
[期刊论文] 作者：Dawei Lang,Wanzhou Ye,
来源：应用数学与应用物理(英文) 年份：2015
In this paper, we propose a Fast Iteration Method for solving mixture regression problem, which can be treated as a model-based clustering. Compared to the EM a...
[期刊论文] 作者：Fei Ye,Xian Luo,Wanzhou Ye,
来源：理论数学进展(英文) 年份：2018
In this paper, we proposed an iterative reweighted l1?penalty regression approach to solve the line spectral estimation problem. In each iteration process, we f...
[期刊论文] 作者：Haijun Kuang,Wanzhou Ye,Ze Zhu,
来源：理论数学进展(英文) 年份：2021
As a new dimension reduction method, the two-dimensional principal component (2DPCA) can be well applied in face recognition, but it is susceptible to outliers....
[期刊论文] 作者：Ze Zhu,Wanzhou Ye,Haijun Kuang,
来源：理论数学进展(英文) 年份：2021
We proposed a generalized adaptive learning rate (GALR) PCA algorithm, which could be guaranteed that the algorithm’s convergence process would not be affected...
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