Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems
nonlinear total variation based noise removal algorithms .
Scalable Stochastic Alternating Direction Method of Multipliers
Broadcast-based distributed alternating direction method of multipliers
an upwind finite - difference method for total variation - based image smoothing .
Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation
Stochastic alternating direction method of multipliers
Accelerated Optimization in the PDE Framework: Formulations for the Active Contour Case
Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization
FA ] 2 N ov 2 00 3 An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
An efficient proximal-gradient method for single and multi-task regression with structured sparsity
A Proximal Dual Consensus ADMM Method for Multi-Agent Constrained Optimization
Linear and anisotropic diffusion in image processing: A study on implementation, parameters and segmentation
Semi-proximal Mirror-Prox for Nonsmooth Composite Minimization
Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation
LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations
A fast algorithm for edgepreserving variational multichannel image restoration
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
An Efficient SVD-Based Method for Image Denoising
bregman iterative algorithms for \ ell1 - minimization with applications to compressed sensing .
Energy trade-offs in the IBM wristwatch computer
Influence of rotor geometry of an interior PM motor on sensorless control feasibility
End-to-End Reinforcement Learning for Automatic Taxonomy Induction
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach