Index for l_1

_l_1_
Accelerated Gradient Descent Method for Projections onto the l_1-Ball
Accurate Changing Point Detection for l_1 Mean Filtering
Airborne DLSLA 3-D SAR Image Reconstruction by Combination of Polar Formatting and l_1 Regularization
Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian l_1-SPIRiT MR Image Reconstruction
Augmented l_1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm
Biconvex Analysis for Lasso l_1 Reweighting, A
Compressed Sensing via Dual Frame Based l_1-Analysis With Weibull Matrices
Compressive Online Robust Principal Component Analysis via n-l_1 Minimization
Control proximal gradient algorithm for image l_1 regularization
Control subgradient algorithm for image l_1 regularization
Decreasing Weighted Sorted l_1 Regularization
Direction of Arrival Estimation for Complex Sources Through l_1 Norm Sparse Bayesian Learning
Distortionless Beamforming Optimized With l_1 -Norm Minimization
Distributed Projection on the Simplex and l_1 Ball via ADMM and Gossip
DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted l_1-Norm Penalty
Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the l_1 Norm
Efficient Point-to-Subspace Query in l_1 with Application to Robust Face Recognition
Efficient Point-to-Subspace Query in l_1 with Application to Robust Object Instance Recognition
Efficient Primal-Dual Method For l_1 TV Image Restoration, An
Efficient Residual DPCM Using an l_1 Robust Linear Prediction in Screen Content Video Coding
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed l_1/L_2 Regularization
Extended Chirp Scaling-Baseband Azimuth Scaling-Based Azimuth: Range Decouple l_1 Regularization for TOPS SAR Imaging via CAMP
Fast and Robust l_1-averaging-based Pose Estimation for Driving Scenarios
Fast l_1-Minimization Algorithms for Robust Face Recognition
Fast l_1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime
Fastest l_1,inf Prox in the West, The
Formulation and Efficient Computation of l_1 - and Smoothness Penalized Estimates for Microstructure-Informed Tractography
Fully Smoothed l_1-TV Models: Bounds for the Minimizers and Parameter Choice
Graph Cuts via l_1 Norm Minimization
Grassmann Manifold Optimization for Fast l_1-Norm Principal Component Analysis
Hyperspectral Image Super-Resolution via Adaptive Dictionary Learning and Double l_1 Constraint
Hyperspectral Unmixing via l_1/2 Sparsity-Constrained Nonnegative Matrix Factorization
Iterative Linear Expansion of Thresholds for l_1 -Based Image Restoration, An
Iterative l_1 -Based Image Restoration Algorithm With an Adaptive Parameter Estimation, An
Large-Scale L_0-Norm and l_1-Norm 2-D Phase Unwrapping
Limited-Angle CT Reconstruction via the l_1/L_2 Minimization
l_1 -Regularization-Based SAR Imaging and CFAR Detection via Complex Approximated Message Passing
l_1 beta L_q Minimization for Signal and Image Recovery
l_1 Graph Based Sparse Model for Label De-noising
l_1 Regularization in Two-Layer Neural Networks
l_1 Sparsity-Regularized Attention Multiple-Instance Network for Hyperspectral Target Detection
l_1,L_2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements
l_1-Norm based reconstruction error evaluation for human action recognition
l_1-Norm Minimization With Regula Falsi Type Root Finding Methods
l_1-Norm Quantile Regression Screening Rule via the Dual Circumscribed Sphere
l_1-Norm Regularization for Short-and-Sparse Blind Deconvolution: Point Source Separability and Region Selection
l_1-Regularized Reconstruction Model for Edge-Preserving Filtering
l_1/2 Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background
l_1/2 regularized low-rank representation for hyperspectral imagery classification, An
l_1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
l_1/2-Regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images
Maximum Consensus Parameter Estimation by Reweighted l_1 Methods
MM-Based Algorithm for l_1 -Regularized Least-Squares Estimation With an Application to Ground Penetrating Radar Image Reconstruction, An
Multi-class Transductive Learning Based on l_1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model
Multi-Exponential Relaxometry Using l_1-Regularized Iterative NNLS (MERLIN) With Application to Myelin Water Fraction Imaging
Multiplicative Noise and Blur Removal by Framelet Decomposition and l_1 -Based L-Curve Method
New Restricted Isometry Property Analysis for l_1-L_2 Minimization Methods
New Sufficient Condition for Non-Convex Sparse Recovery via Weighted L_r-l_1 Minimization, A
Nonlinear Estimation of Material Abundances in Hyperspectral Images With l_1-Norm Spatial Regularization
Nonlinear l_1-Norm Approach for Joint Image Registration and Super-Resolution, A
Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and l_1 Minimization
Nuclear-l_1 Norm Joint Regression for Face Reconstruction and Recognition
Nuclear-l_1 Norm Joint Regression for Face Reconstruction and Recognition with Mixed Noise
Null Space Property of l_1-2 Minimization With Prior Support Information
Null Space Property of the Truncated l_1-2-Minimization, The
Object Tracking via 2DPCA and l_1 -Regularization
Optimal-Dual-Based l_1 Analysis for Speckle Reduction of SAR Data
Pose Invariant Deformable Shape Priors Using l_1 Higher Order Sparse Graphs
Re-Weighted l_1 Algorithms within the Lagrange Duality Framework
Recovering shape and motion by a dynamic system for low-rank matrix approximation in l_1 norm
Resolution Analysis of Imaging with l_1 Optimization
Robust 2DPCA With Non-greedy l_1-Norm Maximization for Image Analysis
Robust Multiview Registration of 3D Surfaces via l_1-norm Minimization
Robust Two-Dimensional T l_1-Norm Linear Discriminant Analysis for Image Recognition
Robustness of l_1-Norm Estimation: From Folklore to Fact
RPC Estimation via l_1-Norm-Regularized Least Squares (L1LS)
Safe Feature Elimination Rule for l_1-Regularized Logistic Regression, A
Solution of a Bivariate l_1 Regularized Problem
Source localization on graphs via l_1 recovery and spectral graph theory
SparCLeS: Dynamic l_1 Sparse Classifiers With Level Sets for Robust Beard/Moustache Detection and Segmentation
sparser reduced set density estimator by introducing weighted l_1 penalty term, A
Spatio-Temporal Auxiliary Particle Filtering With l_1-Norm-Based Appearance Model Learning for Robust Visual Tracking
Subpixel image registration regularised by l_1 and L_2 norms
Supervised Multiview Feature Selection Exploring Homogeneity and Heterogeneity With l_1,2-Norm and Automatic View Generation
Tomographic SAR Inversion by l_1-Norm Regularization: The Compressive Sensing Approach
Transient Performance Analysis of the l_1-RLS
Truncated l_1-2 Models for Sparse Recovery and Rank Minimization
Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over l_1-Manifold Hyper-Graph of Discriminative Image Regions
88 for l_1

Index for "l"


Last update:18-Apr-24 12:23:06
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