Výsledky vyhledávání - Proximal majorization-minimization algorithm

A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems Autor Tang, Peipei, Wang, Chengjing, Jiang, Bo

“…In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm for nonconvex rank regression problems…”
Získat plný text

Majorization-Minimization Bregman Proximal Gradient Algorithms for NMF with the Kullback–Leibler Divergence Autor Takahashi, Shota, Tanaka, Mirai, Ikeda, Shiro

“… In this paper, we propose new algorithms, called majorization-minimization Bregman proximal gradient algorithm (MMBPG…”
Získat plný text

An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal Autor Wang, Chengjing, Zhao, Xile, Wang, Qingsong, Ma, Zepei, Tang, Peipei

“…, the difference of convex functions) structure to remove the strip noise. To solve this model, we make use of the DC structure and apply an inexact proximal majorization…”
Získat plný text

Majorization-Minimization Bregman Proximal Gradient Algorithms for NMF with the Kullback–Leibler Divergence: MMBPG for KL-NMF Autor Takahashi, Shota, Tanaka, Mirai, Ikeda, Shiro

“… In this paper, we propose new algorithms, called majorization-minimization Bregman proximal gradient algorithm (MMBPG…”
Získat plný text

A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems Autor Tang, Peipei, Wang, Chengjing, Jiang, Bo

“…In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm for nonconvex tuning-free robust regression problems…”
Získat plný text

An inexact proximal majorization-minimization Algorithm for remote sensing image stripe noise removal Autor Wang, Chengjing, Zhao, Xile, Wang, Qingsong, Ma, Zepei, Tang, Peipei

“…, the difference of convex functions) structure to remove the strip noise. To solve this model, we make use of the DC structure and apply an inexact proximal majorization…”
Získat plný text

Cognitive waveform design with desired spectrum-autocorrelation properties Autor Lu, Qinghui, Cui, Guolong, Yu, Xianxiang, Chen, Shiqiang, Kuang, Hongyin, Kong, Lingjiang

“…•We propose a competitive majorization minimization proximal method of multipliers algorithm, which is efficiently implemented via the fast fourier transform and element-wise arithmetic…”
Získat plný text

A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems Autor Tang, Peipei, Wang, Chengjing, Sun, Defeng, Kim-Chuan Toh

“…In this paper, we consider high-dimensional nonconvex square-root-loss regression problems and introduce a proximal majorization-minimization (PMM…”
Získat plný text

Majorization-minimization Bregman proximal gradient algorithms for nonnegative matrix factorization with the Kullback--Leibler divergence Autor Takahashi, Shota, Tanaka, Mirai, Ikeda, Shiro

“… In this paper, to solve NMF, we propose new algorithms, called majorization-minimization Bregman proximal gradient algorithm (MMBPG…”
Získat plný text

A proximal distance algorithm for likelihood-based sparse covariance estimation Autor Xu, Jason, Lange, Kenneth

“… These subproblems are generated and solved via the proximal distance version of the majorization-minimization principle…”
Zjistit podrobnosti o přístupu

Nonconvex truncated conditional value at risk-based sparse linear regression Autor Xie, Boyi, Wu, Zhongming, Li, Min

“… The solution equivalence between the proposed model and its approximation model is explored. To efficiently solve the approximation model, we develop a semismooth Newton-based proximal majorization-minimization algorithm…”
Získat plný text

Matrix completion with capped nuclear norm via majorized proximal minimization Autor Kuang, Shenfen, Chao, Hongyang, Li, Qia

“…) approach, we develop a fast Majorized Proximal Minimization Impute (MPM-Impute) algorithm. At each iteration, the sub-problem is relaxed to a surrogate…”
Získat plný text

Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization Autor Yao, Yuxin, Deng, Bailin, Xu, Weiwei, Zhang, Juyong

“… xlink:href="zhang-ieq1-3247603.gif"/> </inline-formula> type robust norm to measure the alignment error and regularize the smoothness of deformation, and use a proximal algorithm to solve the resulting non-smooth optimization problem…”
Získat plný text

A Unified Alternating Direction Method of Multipliers by Majorization Minimization Autor Lu, Canyi, Feng, Jiashi, Yan, Shuicheng, Lin, Zhouchen

“… Inspired by the principle of majorization minimization, we respectively present the unified frameworks of Gauss-Seidel ADMMs and Jacobian ADMMs, which use different historical information for the current updating…”
Získat plný text

MM optimization: Proximal distance algorithms, path following, and trust regions Autor Landeros, Alfonso, Xu, Jason, Lange, Kenneth

“…We briefly review the majorization-minimization (MM) principle and elaborate on the closely related notion of proximal distance algorithms, a generic approach for solving constrained optimization problems via quadratic penalties…”
Zjistit podrobnosti o přístupu

Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization Autor Wei, Quan, Zhao, Ziping

“… It is challenging to analyze the theoretical properties of the resulting estimator because popular iterative algorithms for convex optimization no longer have global convergence guarantees for non-convex…”
Získat plný text

Non-Coherent DOA Estimation via Proximal Gradient Based on a Dual-Array Structure Autor Wan, Zhengyu, Liu, Wei

“… It is then replaced by its convex surrogate alternative by applying the majorization-minimization technique and the proximal gradient method is employed to solve the surrogate problem…”
Získat plný text

Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network Autor Kokkinos, Filippos, Lefkimmiatis, Stamatios

“…Modern digital cameras rely on the sequential execution of separate image processing steps to produce realistic images. The first two steps are usually related…”
Získat plný text

The stochastic proximal distance algorithm Autor Jiang, Haoyu, Xu, Jason

“… In this work, we propose and analyze a stochastic version of the recently proposed proximal distance algorithm, a class of iterative optimization methods that recover a desired constrained estimation…”
Získat plný text

Proximal Distance Algorithms for Sparse Portfolio Selections Autor Zhao, Hong-Xin, Wang, Xin, Kong, Ling-Chen

Získat plný text