Maryam Yashtini

16 papers B 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization.
J. Glob. Optim.
Maryam Yashtini
2022 J jnl
Counting Objects by Diffused Index: Geometry-free and training-free approach.
J. Vis. Commun. Image Represent.
Mengyi Tang, Maryam Yashtini, Sung Ha Kang
2021 J jnl
Counting Objects by Diffused Index: geometry-free and training-free approach.
CoRR
Mengyi Tang, Maryam Yashtini, Sung Ha Kang
2021 J jnl
Multi-block Nonconvex Nonsmooth Proximal ADMM: Convergence and Rates Under Kurdyka-Łojasiewicz Property.
J. Optim. Theory Appl.
Maryam Yashtini
2020 J jnl
Euler's elastica-based algorithm for Parallel MRI reconstruction using SENSitivity Encoding.
Optim. Lett.
Maryam Yashtini
2019 J jnl
Efficient alternating minimization methods for variational edge-weighted colorization models.
Adv. Comput. Math.
Maryam Yashtini, Sung Ha Kang, Wei Zhu
2016 J jnl
A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting.
SIAM J. Imaging Sci.
Maryam Yashtini, Sung Ha Kang
2016 J jnl
An O(1/k) Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm.
SIAM J. Numer. Anal.
William W. Hager, Maryam Yashtini, Hongchao Zhang
2016 J jnl
On the global convergence rate of the gradient descent method for functions with Hölder continuous gradients.
Optim. Lett.
Maryam Yashtini
2015 — conf
Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising.
SSVM
Maryam Yashtini, Sung Ha Kang
2013 J jnl
Bregman operator splitting with variable stepsize for total variation image reconstruction.
Comput. Optim. Appl.
Yunmei Chen, William W. Hager, Maryam Yashtini, Xiaojing Ye, Hongchao Zhang
2012 B conf
Partially parallel MR image reconstruction using sensitivity encoding.
ICIP
Maryam Yashtini, William W. Hager, Yunmei Chen, Xiaojing Ye
2010 J jnl
Image fusion algorithms for color and gray level images based on LCLS method and novel artificial neural network.
Neurocomputing
Alaeddin Malek, Maryam Yashtini
2009 — conf
A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications.
ISNN (3)
Alaeddin Malek, Maryam Yashtini
2008 J jnl
A discrete-time neural network for solving nonlinear convex problems with hybrid constraints.
Appl. Math. Comput.
Maryam Yashtini, Alaeddin Malek
2007 J jnl
Solving complementarity and variational inequalities problems using neural networks.
Appl. Math. Comput.
Maryam Yashtini, Alaeddin Malek