Maryam Yashtini

Orcid: 0000-0002-6053-7569

According to our database1, Maryam Yashtini authored at least 15 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Counting Objects by Diffused Index: Geometry-free and training-free approach.
J. Vis. Commun. Image Represent., 2022

Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization.
J. Glob. Optim., 2022

2021
Multi-block Nonconvex Nonsmooth Proximal ADMM: Convergence and Rates Under Kurdyka-Łojasiewicz Property.
J. Optim. Theory Appl., 2021

2020
Euler's elastica-based algorithm for Parallel MRI reconstruction using SENSitivity Encoding.
Optim. Lett., 2020

2019
Efficient alternating minimization methods for variational edge-weighted colorization models.
Adv. Comput. Math., 2019

2016
An O(1/k) Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm.
SIAM J. Numer. Anal., 2016

A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting.
SIAM J. Imaging Sci., 2016

On the global convergence rate of the gradient descent method for functions with Hölder continuous gradients.
Optim. Lett., 2016

2015
Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2013
Bregman operator splitting with variable stepsize for total variation image reconstruction.
Comput. Optim. Appl., 2013

2012
Partially parallel MR image reconstruction using sensitivity encoding.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2010
Image fusion algorithms for color and gray level images based on LCLS method and novel artificial neural network.
Neurocomputing, 2010

2009
A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications.
Proceedings of the Advances in Neural Networks, 2009

2008
A discrete-time neural network for solving nonlinear convex problems with hybrid constraints.
Appl. Math. Comput., 2008

2007
Solving complementarity and variational inequalities problems using neural networks.
Appl. Math. Comput., 2007


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