Standout Papers
Citation Impact
Citing Papers
An Augmented Lagrangian Approach to Constrained MAP Inference
2011
Breast cancer prognosis by combinatorial analysis of gene expression data
2006
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Proximal minimization algorithm withD-functions
1992
Sparse Subspace Clustering: Algorithm, Theory, and Applications
2013 Standout
An Augmented Lagrangian Method for Total Variation Video Restoration
2011
RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images
2012
A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography
2012 Standout
Fast Image Recovery Using Variable Splitting and Constrained Optimization
2010
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
2012 Standout
ALDH1 Is a Marker of Normal and Malignant Human Mammary Stem Cells and a Predictor of Poor Clinical Outcome
2007 Standout
Robust Recovery of Subspace Structures by Low-Rank Representation
2012 Standout
Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging
2011
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Small infrared target detection based on low-rank and sparse representation
2014
Partial Proximal Minimization Algorithms for Convex Pprogramming
1994
Cognitive Internet of Things: A New Paradigm Beyond Connection
2014 Standout
Optimization for Machine Learning
2011
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing
2015 Standout
Discontinuous dynamical systems
2008 Standout
Tensor Decomposition for Signal Processing and Machine Learning
2017 Standout
An alternating direction method for finding Dantzig selectors
2012
Improving the feasibility pump
2006
Tensor completion and low-n-rank tensor recovery via convex optimization
2011
Learning with tensors: a framework based on convex optimization and spectral regularization
2013
Robust Co-Optimization Scheduling of Electricity and Natural Gas Systems via ADMM
2016 Standout
Engineering and Economic Applications of Complementarity Problems
1997
Coordinate descent algorithms
2015
Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
2015
Iterative Algorithms for Nonlinear Operators
2002 Standout
Forcing strong convergence of proximal point iterations in a Hilbert space
2000
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
2018 Standout
Unimodular Sequence Design Based on Alternating Direction Method of Multipliers
2016
A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
2000
Sparse representation or collaborative representation: Which helps face recognition?
2011 Standout
On-Line Building Energy Optimization Using Deep Reinforcement Learning
2018 Standout
Reweighted Infrared Patch-Tensor Model With Both Nonlocal and Local Priors for Single-Frame Small Target Detection
2017 Standout
Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
2001 Standout
Discriminative Block-Diagonal Representation Learning for Image Recognition
2017
Kullback proximal algorithms for maximum-likelihood estimation
2000
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
2015 Standout
Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning
2011
Flow-Based Transmission Rights and Congestion Management
2000 StandoutNobel
Solving monotone inclusions via compositions of nonexpansive averaged operators
2004
Dynamic Network Energy Management via Proximal Message Passing
2014
On the linear convergence of the alternating direction method of multipliers
2016
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
2010
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
2012 Standout
Infrared and visible image fusion methods and applications: A survey
2018 Standout
Removing Multiplicative Noise by Douglas-Rachford Splitting Methods
2009
Infrared and visible image fusion based on total variation and augmented Lagrangian
2017
Adaptive weighted nonnegative low-rank representation
2018
A multiprojection algorithm using Bregman projections in a product space
1994
Operation of a Multiagent System for Microgrid Control
2005 Standout
Sparse Unmixing of Hyperspectral Data
2011
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Pixel-level image fusion: A survey of the state of the art
2016 Standout
Robust principal component analysis?
2011 Standout
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
2015 Standout
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System
2020 Standout
Robust Sparse Linear Discriminant Analysis
2018 Standout
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
Application of a Smoothing Technique to Decomposition in Convex Optimization
2008
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
2018 Standout
A survey on object detection in optical remote sensing images
2016 Standout
Robust Subspace Segmentation Via Low-Rank Representation
2013
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Auction algorithms for network flow problems: A tutorial introduction
1992
A mixed integer linear programming formulation of the optimal mean/Value-at-Risk portfolio problem
2005
Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
2018 Standout
Economic Congestion Relief across Multiple Regions Requires Tradable Physical Flow-Gate Rights
2002
Exact Tensor Completion Using t-SVD
2016 Standout
Composite splitting algorithms for convex optimization
2011
Non-Local Sparse Unmixing for Hyperspectral Remote Sensing Imagery
2013
Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity
2016
Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation
2018
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding
2016
Proximal Algorithms
2014
A new approach to the maximum-flow problem
1988 Standout
Robust Low-Rank Tensor Recovery: Models and Algorithms
2014
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
2018 Standout
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
On the use of deep learning for computational imaging
2019 Standout
Free-Steering Relaxation Methods for Problems with Strictly Convex Costs and Linear Constraints
1997
Alternating Projection-Proximal Methods for Convex Programming and Variational Inequalities
1997
Infrared Patch-Image Model for Small Target Detection in a Single Image
2013 Standout
LIME: Low-Light Image Enhancement via Illumination Map Estimation
2016 Standout
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
2010 Standout
A Singular Value Thresholding Algorithm for Matrix Completion
2010 Standout
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
2016 Standout
Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint
2014
A variable-penalty alternating directions method for convex optimization
1998
Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing
2012
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm
2018 Standout
A Douglas–Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery
2007
A forward/reverse auction algorithm for asymmetric assignment problems
1992
Theory and Applications of Robust Optimization
2011 Standout
Finding Minimum-Cost Circulations by Successive Approximation
1990
A proximal-based decomposition method for convex minimization problems
1994
Supersparse linear integer models for optimized medical scoring systems
2015
Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems
2016
Signal Recovery by Proximal Forward-Backward Splitting
2005 Standout
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
2016 Standout
Works of Jonathan Eckstein being referenced
Boosting Classifiers with Tightened L0-Relaxation Penalties
2010
Distributed Asynchronous Relaxation Methods for Linear Network Flow Problems
1987
The Maximum Box Problem and its Application to Data Analysis
2002
General Projective Splitting Methods for Sums of Maximal Monotone Operators
2009
Some Saddle-function splitting methods for convex programming
1994
On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators
1992 Standout
Operator-Splitting Methods for Monotone Affine Variational Inequalities, with a Parallel Application to Optimal Control
1998
Stochastic Dedication: Designing Fixed Income Portfolios Using Massively Parallel Benders Decomposition
1993
Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming
1993
Pivot, Cut, and Dive: a heuristic for 0-1 mixed integer programming
2007
Sparse weighted voting classifier selection and its linear programming relaxations
2012
A family of projective splitting methods for the sum of two maximal monotone operators
2007
Parallel alternating direction multiplier decomposition of convex programs
1994
The Alternating Step Method for Monotropic Programming on the Connection Machine CM-2
1993
Dual coordinate step methods for linear network flow problems
1988
A practical general approximation criterion for methods of multipliers based on Bregman distances
2003
Approximate iterations in Bregman-function-based proximal algorithms
1998