Index for norm

_	norm	_
2-D Seismic Data Reconstruction via Truncated Nuclear	norm	Regularization
2D Subquadratic Separable Distance Transformation for Path-Based	norm	s
3-D chamfer distances and	norm	s in anisotropic grids
4D computed tomography super-resolution reconstruction based on tensor product and nuclear	norm	optimization
ABC-	norm	Regularization for Fine-Grained and Long-Tailed Image Classification
Accurate Optimization of Weighted Nuclear	norm	for Non-rigid Structure from Motion
Accurate Structure Recovery via Weighted Nuclear	norm	: A Low Rank Approach to Shape-from-Focus
Action Key Frames Extraction Using L1-	norm	and Accumulative Optical Flow for Compact Video Shot Summarisation
Ada	norm	: Adaptive Gradient Norm Correction based Optimizer for CNNs
Adaptive Feature	norm	for Unsupervised Subdomain Adaptation
Adaptive Iterated Shrinkage Thresholding-Based LP-	norm	Sparse Representation for Hyperspectral Imagery Target Detection
Adaptive Lp	norm	Minimization Algorithm for Direction of Arrival Estimation, An
Adaptive	norm	Algorithm for Image Restoration, An
Adaptive	norm	Selection for Regularized Image Restoration and Super-Resolution
Adjusting samples for obtaining better L2-	norm	minimization based sparse representation
ADMM-Net for Beamforming Based on Linear Rectification with the Atomic	norm	Minimization
Airborne Downward-Looking Sparse Linear Array 3-D SAR Imaging via 2-D Adaptive Iterative Reweighted Atomic	norm	Minimization
Alternative Fuzzy Clustering Algorithms with L1-	norm	and Covariance Matrix
Appearance Radii in Medial Axis Test Mask for Small Planar Chamfer	norm	s
Application of trace-	norm	and low-rank matrix decomposition for computational anatomy
Assimilation of Typhoon Wind Field Retrieved from Scatterometer and SAR Based on the Huber	norm	Quality Control
Atomic	norm	-Based Joint Delay-Doppler Shift Estimation for OFDM Passive Radar
Augmented Lagrangian Method for TVg+L1-	norm	Minimization, An
Augmented L_1 and Nuclear-	norm	Models with a Globally Linearly Convergent Algorithm
Auto-weighted Tensor Schatten p-	norm	for Robust Multi-view Graph Clustering
Automated feature weighting in clustering with separable distances and inner product induced	norm	s: A theoretical generalization
Benchmarking Robustness Beyond LP	norm	Adversaries
Bi-l0-l2-	norm	regularization for blind motion deblurring
Bi-Nuclear Tensor Schatten-p	norm	Minimization for Multi-View Subspace Clustering
Bias Analysis and Correction for Ill-Posed Inversion Problem with Sparsity Regularization Based on L1	norm	for Azimuth Super-Resolution of Radar Forward-Looking Imaging
Bilinear Factor Matrix	norm	Minimization for Robust PCA: Algorithms and Applications
Blind 3D-Printing Watermarking Using Moment Alignment and Surface	norm	Distribution
Blind Deconvolution for Poissonian Blurred Image With Total Variation and L0-	norm	Gradient Regularizations
Blind Source Separation by Nuclear	norm	Minimization and Local Recoverability Analysis
Block principal component analysis with L1-	norm	for image analysis
Block Selection Method for Using Feature	norm	in Out-of-Distribution Detection
Camera Resectioning from Image Edges with the L_inf-	norm	Using Linear Programming
Capped L_p-	norm	LDA for Outliers Robust Dimension Reduction
Cartoon-Texture-Noise Decomposition with Transport	norm	s
Cascaded L1-	norm	Minimization Learning (CLML) classifier for human detection
Classification based on weighted sparse representation using smoothed L0	norm	with non-negative coefficients
Clutter Suppression Algorithm via Weighted L_2-	norm	Penalty for Airborne Radar, A
Codewords Distribution-Based Optimal Combination of Equal-Average Equal-Variance Equal-	norm	Nearest Neighbor Fast Search Algorithm for Vector Quantization Encoding
Collaborative Sparse Hyperspectral Unmixing Using L_0	norm
Communicative System of Touch. Alphabet, Lexicon, and	norm	s of Use, The
Comparative Study for the Nuclear	norm	s Minimization Methods, A
Comprehensive and Modularized Statistical Framework for Gradient	norm	Equality in Deep Neural Networks, A
Compressed Sensing MRI by Integrating Deep Denoiser and Weighted Schatten P-	norm	Minimization
Computationally Efficient Truncated Nuclear	norm	Minimization for High Dynamic Range Imaging
Consistent Discretization and Minimization of the L1	norm	on Manifolds
Continuous Mixed p-	norm	Adaptive Algorithm for System Identification
Contrast Invariant Interest Point Detection by Zero-	norm	LoG Filter
Convergence analysis of the mixed-	norm	LMS and two versions for sparse system identification
Convergence of Proximal Iteratively Reweighted Nuclear	norm	Algorithm for Image Processing
convex minimization model in image restoration via one-dimensional Sobolev	norm	profiles, A
Convexifying Sparse Interpolation With Infinitely Wide Neural Networks: An Atomic	norm	Approach
Convolutional Sparse Coding with Weighted L1	norm	for Phase Retrieval: Algorithm and Its Deep Unfolded Network
Corrected Tensor Nuclear	norm	Minimization Method for Noisy Low-Rank Tensor Completion, A
Cramer-Rao Bound Under	norm	Constraint
Cubic	norm	and kernel-based bi-directional PCA: toward age-aware facial kinship verification
d-	norm	-Based Robust Regression With Applications to Image Analysis
DANCo: An intrinsic dimensionality estimator exploiting angle and	norm	concentration
Data-Driven Impostor Selection for T-	norm	Score Normalisation and the Background Dataset in SVM-Based Speaker Verification
De-Hankelization of singular spectrum analysis matrices via L1	norm	criterion
Decision Level Fusion Using t-	norm	s
Decoupling Direction and	norm	for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Deep Atomic	norm	Denoising Network for Jointly Range-Doppler Estimation With FRI Sampling
Deep Unfolded Gridless DOA Estimation Networks Based on Atomic	norm	Minimization
Defending against Universal Adversarial Patches by Clipping Feature	norm	s
Description of the Minimizers of Least Squares Regularized with L_0-	norm	. Uniqueness of the Global Minimizer
Design of 2-D Explicit Depth Extrapolators Using the Cauchy	norm	, The
Designing Low Coherent Measurement Matrix With Controlled Spectral	norm	Via an Efficient Approximation of L_inf-Norm
Designing Low Coherent Measurement Matrix With Controlled Spectral	norm	Via an Efficient Approximation of L_inf-Norm
Detection of Small Target Using Schatten 1/2 Quasi-	norm	Regularization with Reweighted Sparse Enhancement in Complex Infrared Scenes
Determination of Optimal Polygon from Digital Curve Using L1	norm
Deterministically maximizing feasible subsystem for robust model fitting with unit	norm	constraint
Dim and Small Target Detection Based on Improved Hessian Matrix and F-	norm	Collaborative Filtering
Direction of Arrival Estimation for Complex Sources Through L_1	norm	Sparse Bayesian Learning
Direction of Arrival Estimation with Nested Arrays in Presence of Impulsive Noise: A Correlation Entropy-Based Infinite	norm	Strategy
Direction-of-Arrival Estimation Through Exact Continuous l2,0-	norm	Relaxation
Discrepancy	norm	as Fitness Function for Defect Detection on Regularly Textured Surfaces
Discriminant Analysis via Joint Euler Transform and L_2,1-	norm
Discriminant analysis via jointly -	norm	sparse tensor preserving embedding for image classification
Discriminant locality preserving projections based on L2,p-	norm	for image feature extraction and recognition
Discriminative metric: Schatten	norm	vs. vector norm
Discriminative metric: Schatten	norm	vs. vector norm
Distortionless Beamforming Optimized With L_1 -	norm	Minimization
DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted L_1-	norm	Penalty
DOA Estimation of Coherent Sources Using Coprime Array via Atomic	norm	Minimization
Domain Generalization through Audio-Visual Relative	norm	Alignment in First Person Action Recognition
Double Nuclear	norm	Based Low Rank Representation on Grassmann Manifolds for Clustering
Double Nuclear	norm	-Based Matrix Decomposition for Occluded Image Recovery and Background Modeling
Dual approximated nuclear	norm	based matrix regression via adaptive line search scheme
Dual Calibration Mechanism Based L2, p-	norm	for Graph Matching
Dual	norm	Based Iterative Methods for Image Restoration
Dual	norm	s and Image Decomposition Models
Dynamic and reliable subtask tracker with general schatten p-	norm	regularization
Edge Detection in Machine Vision Using a Simple L(1)	norm	Template Matching Algorithm
Edge Devices Clustering for Federated Visual Classification: A Feature	norm	Based Framework
Efficient Alternating Algorithm for the L_p-	norm	Cross-Gradient Joint Inversion of Gravity and Magnetic Data Using the 2-D Fast Fourier Transform, An
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1	norm
Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L_1	norm
Efficient Feature Reconstruction via l2,1-	norm	Regularization for Few-Shot Classification
Efficient Low-Rank Matrix Factorization Based on l1,e-	norm	for Online Background Subtraction
Efficient Many-to-Many Feature Matching under the L1	norm
Efficient Projection onto the Ll_(inf,1) Mixed-	norm	Ball Using a Newton Root Search Method
efficient tensor completion method via truncated nuclear	norm	, An
Enhanced nuclear	norm	based matrix regression for occluded face recognition
Enhancing Prony's method by nuclear	norm	penalization and extension to missing data
Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed	norm	Regularization
Exact NLMS Algorithm with L_p-	norm	Constraint
Exact Solution to Rank-1 L1-	norm	TUCKER2 Decomposition, The
Extracting Seasonal Signals in GNSS Coordinate Time Series via Weighted Nuclear	norm	Minimization
Face recognition by sparse discriminant analysis via joint L2,1-	norm	minimization
Face Recognition with Learned Local Curvelet Patterns and 2-Directional L1-	norm	Based 2DPCA
Facial expression recognition using LP-	norm	MKL multiclass-SVM
Fast Algorithm for 1-	norm	Vector Median Filtering, A
Fast Algorithm for Multidimensional Ellipsoid-Specific Fitting by Minimizing a New Defined Vector	norm	of Residuals Using Semidefinite Programming, A
Fast and Accurate Matrix Completion via Truncated Nuclear	norm	Regularization
Fast and Accurate Spectrum Estimation via Virtual Coarray Interpolation Based on Truncated Nuclear	norm	Regularization
Fast and Robust Estimation for Unit-	norm	Constrained Linear Fitting Problems
Fast exhaustive-search equivalent pattern matching through	norm	ordering
Fast Fourier-Domain Optimization Using Hybrid L1-/L_p-	norm	for Autofocus in Airborne SAR Imaging
Fast General	norm	Approximation via Iteratively Reweighted Least Squares
Fast matching pursuit with vector	norm	comparison
Fast Method to Minimize L-inf Error	norm	for Geometric Vision Problems, A
Fast randomized Singular Value Thresholding for Nuclear	norm	Minimization
Fast Robust Matrix Completion via Entry-Wise l0-	norm	Minimization
fast search algorithm for vector quantization using L2-	norm	pyramid of codewords, A
Fast Tensor Nuclear	norm	for Structured Low-Rank Visual Inpainting
Fast Total Variation Method Based on Iterative Reweighted	norm	for Airborne Scanning Radar Super-Resolution Imaging
Faster training of very deep networks via p-	norm	gates
Feature extraction based on Lp-	norm	generalized principal component analysis
Feature Selection using a Mixed-	norm	Penalty Function
Few views image reconstruction using alternating direction method via L0-	norm	minimization
Few-view image reconstruction combining total variation and a high-order	norm
Fisher Discriminant Analysis With L1-	norm
Fisher discrimination-based L_2,1-	norm	sparse representation for face recognition
Framelet Representation of Tensor Nuclear	norm	for Third-Order Tensor Completion
Function	norm	s for Neural Networks
Fuzzy Image Processing by Using Dubois and Prade Fuzzy	norm	s
general soft method for learning SVM classifiers with L1-	norm	penalty, A
Generalization of linear discriminant analysis using -	norm
Generalized 2-D Principal Component Analysis by Lp-	norm	for Image Analysis
generalized trace-	norm	and its application to structure-from-motion problems, The
generic shift-	norm	-activation approach for deep learning, A
Geometric LP-	norm	feature pooling for image classification
Globally Optimal Linear Model Fitting with Unit-	norm	Constraint
GNP Attack: Transferable Adversarial Examples Via Gradient	norm	Penalty
Gradient	norm	Aware Minimization Seeks First-Order Flatness and Improves Generalization
Graph Convolutional Dictionary Selection With L2,?	norm	for Video Summarization
Graph Cuts via L_1	norm	Minimization
Grassmann Manifold Optimization for Fast L_1-	norm	Principal Component Analysis
gravitational approach to edge detection based on triangular	norm	s, A
Group	norm	for Learning Structured SVMs with Unstructured Latent Variables
Group Pruning Using a Bounded-Lp	norm	for Group Gating and Regularization
Hessian Schatten-	norm	Regularization for Linear Inverse Problems
Hessian Semi-Supervised Sparse Feature Selection Based on L_2,1/2 -Matrix	norm
Hessian-Based	norm	Regularization for Image Restoration With Biomedical Applications
High Performance and Efficient Facial Recognition Using	norm	of ICA/Multiwavelet Features
Homographic p-	norm	s: Metrics of homographic image transformation
Horizontal and Vertical Nuclear	norm	-Based 2DLDA for Image Representation
Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace	norm	Regularization
Hybrid Truncated	norm	Regularization Method for Matrix Completion, A
Hyperspectral Data Geometry-Based Estimation of Number of Endmembers Using p-	norm	-Based Pure Pixel Identification Algorithm
Hyperspectral Image Denoising Using Global Weighted Tensor	norm	Minimum and Nonlocal Low-Rank Approximation
Hyperspectral Image Denoising via Framelet Transformation Based Three-Modal Tensor Nuclear	norm
Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear	norm	s
Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p -	norm	Minimization
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed	norm	s
Image colorization based on the mixed L0/L1	norm	minimization
Image compressive sensing using group sparse representation via truncated nuclear	norm	minimization
Image compressive sensing via Truncated Schatten-p	norm	regularization
Image decomposition, image restoration, and texture modeling using total variation minimization and the H-1	norm
Image Outlier Detection and Feature Extraction via L1-	norm	-Based 2D Probabilistic PCA
Image recovery and recognition: A combining method of matrix	norm	regularisation
Image restoration and decomposition using nonconvex non-smooth regularisation and negative Hilbert-Sobolev	norm
Image Restoration Using Adaptive Region-Wise p-	norm	Filter with Local Constraints
Image Restoration Using One-Dimensional Sobolev	norm	Profiles of Noise and Texture
Image Restoration Using Probability-Inducing Nuclear	norm	Minimization
Image segmentation fusion using weakly supervised trace-	norm	multi-task learning method
Image smoothing via a scale-aware filter and L_0	norm
Image-Coding with an L-Infinity	norm	and Confidence-Interval Criteria
Image-pair-based deblurring with spatially varying	norm	s and noisy image updating
Improve robustness of sparse PCA by L1-	norm	maximization
Improved Linear Discriminant Analysis with L1-	norm	for Robust Feature Extraction, An
Improving generalization of double low-rank representation using Schatten-p	norm
Improving Lightweight AdderNet via Distillation from L2 to L1-	norm
Incoherent Unit-	norm	Frame Design via an Alternating Minimization Penalty Method
Incremental p-margin algorithm for classification with arbitrary	norm
Independent component analysis by lp-	norm	optimization
Infinity-	norm	Rotation for Reversible Data Hiding
Infrared Dim Small Target Detection Based on Nonconvex Constraint with L1-L2	norm	and Total Variation
Infrared object detection via patch-tensor model and image denoising based on weighted truncated Schatten-p	norm	minimization
Infrared Small Target Detection Based on Non-Convex Optimization with Lp-	norm	Constraint
Infrared Small Target Detection Based on Partial Sum of the Tensor Nuclear	norm
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint L_2,1	norm
Intuitionistic fuzzy similarity measures based on Frank t-	norm	s family
Investigation of lp-	norm	Minimization for the Artifact-Free Inversion of Gravity Data, An
Isotropic and anisotropic filtering	norm	-minimization: A generalization of the TV and TGV minimizations using NESTA
Iterative Reweighted Mixed-	norm	Estimate for Spatio-Temporal MEG/EEG Source Reconstruction, The
Iterative weighted nuclear	norm	for X-ray cardiovascular angiogram image denoising
IVDST: A Fast Algorithm for Atomic	norm	Minimization in Line Spectral Estimation
Jacobian	norm	with Selective Input Gradient Regularization for interpretable adversarial defense
Joint image registration and super-resolution reconstruction based on regularized total least	norm
Joint trace/TV	norm	minimization: A new efficient approach for spectral compressive imaging
Joint Transformation Learning via the L2,1-	norm	Metric for Robust Graph Matching
k-support	norm	and convex envelopes of cardinality and rank, The
L-inf	norm	Based Second Generation Image Coding
L0	norm	Based Dictionary Learning by Proximal Methods with Global Convergence
L0-	norm	and Total Variation for Wavelet Inpainting
L0-	norm	based structural sparse least square regression for feature selection
L0-	norm	constraint normalized logarithmic subband adaptive filter algorithm
L0-	norm	sparse representation based on modified genetic algorithm for face recognition
L0-	norm	-Based Sparse Representation Through Alternate Projections
L1	norm	based KPCA for novelty detection
L1-	norm	and maximum margin criterion based discriminant locality preserving projections via trace Lasso
L1-	norm	Based Linear Discriminant Analysis: An Application to Face Recognition
L1-	norm	constrained normalized subband adaptive filter algorithm with variable norm-bound parameter and improved version
L1-	norm	constrained normalized subband adaptive filter algorithm with variable norm-bound parameter and improved version
L1-	norm	discriminant analysis via Bhattacharyya error bounds under Laplace distributions
L1-	norm	Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm
L1-	norm	global geometric consistency for partial-duplicate image retrieval
L1-	norm	-Based 2DPCA
L1-	norm	-based kernel entropy components
L1-	norm	-based principal component analysis with adaptive regularization
L2,1-	norm	-based unsupervised optimal feature selection with applications to action recognition, The
L2-	norm	metric learning applied to unconstrained face pair-matching
l2-	norm	-based prior for haze-removal from single image
Laplacian Lp	norm	least squares twin support vector machine
Large-scale image classification with trace-	norm	regularization
Large-Scale L_0-	norm	and L_1-Norm 2-D Phase Unwrapping
Large-Scale L_0-	norm	and L_1-Norm 2-D Phase Unwrapping
Larger	norm	More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Larger	norm	More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Learnable Group-Tube Transform Induced Tensor Nuclear	norm	and Its Application for Tensor Completion, A
Learning Class-to-Image Distance via Large Margin and L1-	norm	Regularization
Learning Hierarchical Semantic Description Via Mixed-	norm	Regularization for Image Understanding
Learning image Vicept description via mixed-	norm	regularization for large scale semantic image search
Learning Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the L1-	norm	Distances
Learning Sparse Filters in Deep Convolutional Neural Networks with a L1/l2 Pseudo-	norm
Learning Stable Deep Predictive Coding Networks with Weight	norm	Supervision
Least squares twin bounded support vector machines based on L1-	norm	distance metric for classification
Linear combination of	norm	s in improving approximation of Euclidean norm
Linear combination of	norm	s in improving approximation of Euclidean norm
Linear Discriminant Analysis Based on L1-	norm	Maximization
Linear Image Reconstruction by Sobolev	norm	s on the Bounded Domain
Linear Image Reconstruction by Sobolev	norm	s on the Bounded Domain
LLP	norm	regularization based group sparse representation for image compressed sensing recovery
Local	norm	features based on ridgelets transform
Localizing non-overlapping surveillance cameras under the L-Infinity	norm
Locally principal component analysis based on L1-	norm	maximisation
Logarithmic	norm	Regularized Low-Rank Factorization for Matrix and Tensor Completion
Logarithmic Schatten-p	norm	Minimization for Tensorial Multi-View Subspace Clustering
Low rank matrix completion using truncated nuclear	norm	and sparse regularizer
Low-rank and sparse matrix decomposition via the truncated nuclear	norm	and a sparse regularizer
Low-Rank Approximation via Generalized Reweighted Iterative Nuclear and Frobenius	norm	s
Low-rank matrix decomposition in L1-	norm	by dynamic systems
Low-Rank Matrix Recovery via Modified Schatten-p	norm	Minimization With Convergence Guarantees
Low-Rank Tensor Completion by Truncated Nuclear	norm	Regularization
Low-Rank Tensor Completion With a New Tensor Nuclear	norm	Induced by Invertible Linear Transforms
Low-resolution face recognition and feature selection based on multidimensional scaling joint L 2,1-	norm	regularisation
LP	norm	Design of Stack Filters
LP	norm	multiple kernel Fisher discriminant analysis for object and image categorisation
Lp	norm	Relaxation Approach for Large Scale Data Analysis: A Review
LP-	norm	IDF for Large Scale Image Search
lp-	norm	MTMKL framework for simultaneous detection of multiple facial action units, A
LP-	norm	optimum filters for image recognition. Part I. Algorithms
LP-	norm	optimum filters for image recognition. Part II: performance evaluation
lp-	norm	Support Vector Data Description
L_0-	norm	Sparse Hyperspectral Unmixing Using Arctan Smoothing
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_1/2	norm	and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background
L_2,1-	norm	minimization based negative label relaxation linear regression for feature selection
L_2,1-	norm	-based sparse principle component analysis with trace norm regularised term
L_2,1-	norm	-based sparse principle component analysis with trace norm regularised term
L_2,p-	norm	Based PCA for Image Recognition
L_inf	norm	Based Solution for Visual Odometry
L_n	norm	optimal histogram matching and application to similarity retrieval
L_p	norm	Localized Multiple Kernel Learning via Semi-Definite Programming
L_p-	norm	IDF for Scalable Image Retrieval
M-estimators for robust multidimensional scaling employing L2,1	norm	regularization
Majorization-Minimization Approach to Lq	norm	Multiple Kernel Learning, A
Many-to-Many Matching under the L1	norm
MAP algorithm for AVO seismic inversion based on the mixed (L2, non-L2)	norm	s to separate primary and multiple signals in slowness space, A
Matrix completion by Truncated Nuclear	norm	Regularization
Matrix completion via capped nuclear	norm
Matrix regression-based classification with block-	norm
Maximum Likelihood Model Selection for 1-	norm	Soft Margin SVMs with Multiple Parameters
Medial axis lookup table and test neighborhood computation for 3D chamfer	norm	s
Medial Axis LUT Computation for Chamfer	norm	s Using HH-Polytopes
Medical image fusion based on nuclear	norm	minimization
Metric learning with trace-	norm	regularization for person re-identification
Min	norm	Point Algorithm for Higher Order MRF-MAP Inference
Mineral Exploration Potential Estimation Using 3D Inversion: A Comparison of Three Different	norm	s
Minimizing Layerwise Activation	norm	Improves Generalization in Federated Learning
Minimum	norm	Least Squares Extrapolation Estimate for Discrete (a,b,c,d)-Bandlimited Signals
Missing Low-Rank and Sparse Decomposition Based on Smoothed Nuclear	norm
Mixed L0/L1	norm	Minimization Approach to Image Colorization
Mixed L1	norm	and L2 norm regularized sparsity adaptive matching pursuit algorithm
Mixed L1	norm	and L2 norm regularized sparsity adaptive matching pursuit algorithm
Mixed lp/l1	norm	Minimization Approach to Intra-Frame Super-Resolution
Mixed	norm	Image Restoration, A
Mixed-	norm	sparse representation for multi view face recognition
Model for smoothing and segmentation of texture images using L0	norm
Modified Algorithm Based on Smoothed L0	norm	in Compressive Sensing Signal Reconstruction, A
Monocular 3-D Tracking of Inextensible Deformable Surfaces Under L_2-	norm
Monocular Template-Based Tracking of Inextensible Deformable Surfaces under L2-	norm
Motion Capture Data Completion via Truncated Nuclear	norm	Regularization
Moving Target's HRRP Synthesis With Sparse Frequency-Stepped Chirp Signal via Atomic	norm	Minimization
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear	norm	Minimization
Multi-channel Weighted Nuclear	norm	Minimization for Real Color Image Denoising
multi-class SVM approach based on the L1-	norm	minimization of the distances between the reduced convex hulls, A
Multi-Dimensional Low-Rank with Weighted Schatten p-	norm	Minimization for Hyperspectral Anomaly Detection
Multi-GNSS/IMU Data Fusion Algorithm Based on the Mixed	norm	s for Land Vehicle Applications, A
Multi-scale patches based image denoising using weighted nuclear	norm	minimisation
Multi-scale Weighted Nuclear	norm	Image Restoration
Multi-View Data Fusion Oriented Clustering via Nuclear	norm	Minimization
Multiple	norm	s and Boundary Constraint Enforced Image Deblurring via Efficient MCMC Algorithm
Multiple View Geometry and the L_inf-	norm
Multiple-View Geometry Under the L_inf-	norm
Multiview geometry in traditional vision and omnidirectional vision under the L_inf-	norm
NCMS: Towards accurate anchor free object detection through L2	norm	calibration and multi-feature selection
Nearest Neighbor (NN)	norm	s: NN Pattern Classification Techniques
Nesting-structured nuclear	norm	minimization for spatially correlated matrix variate
New optimization scheme for L2-	norm	total variation semi-supervised image soft labeling
New SAR Interferogram denoising method via sparse recovery based on L0	norm
New semi-supervised classification using a multi-modal feature joint L21-	norm	based sparse representation
Non-convex online robust PCA: Enhance sparsity via lp-	norm	minimization
Non-convex P-	norm	Projection for Robust Sparsity
Non-Greedy Algorithm for L1-	norm	LDA, A
Non-Greedy L21-	norm	Maximization for Principal Component Analysis
Non-greedy Max-min Large Margin based on L1-	norm
Noncontact Vital Sign Detection based on Stepwise Atomic	norm	Minimization
Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear	norm
Nonconvex Truncated Nuclear	norm	Minimization Based on Adaptive Bisection Method
Nonlinear Estimation of Material Abundances in Hyperspectral Images With L_1-	norm	Spatial Regularization
Nonlinear L1-	norm	minimization learning for human detection
Nonlinear L_1-	norm	Approach for Joint Image Registration and Super-Resolution, A
Nonlocal image deblurring: Variational formulation with nonlocal collaborative L0-	norm	prior
	norm	Loss: An efficient yet effective regularization method for deep neural networks
	norm	Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization, The
	norm	-Aware Embedding for Efficient Person Search
	norm	-Aware Embedding for Efficient Person Search and Tracking
	norm	-Aware Margin Assignment for Person Re-Identification
	norm	-Induced Entropies for Decision Forests
	norm	-Preservation: Why Residual Networks Can Become Extremely Deep?
	norm	^2 Based Face Recognition
Novel fractal image encoding algorithm using	norm	alized one-norm and kick-out condition
Novel Framework for Nonlocal Vectorial Total Variation Based on L p,q,r-	norm	s, A
novel multi-image super-resolution reconstruction method using anisotropic fractional order adaptive	norm	, A
Novel Robust Image Forensics Algorithm Based on L1-	norm	Estimation, A
Novel Search Algorithm Based on L2-	norm	Pyramid of Codewords for Fast Vector Quantization Encoding, A
Nuclear	norm	Based 2DPCA
Nuclear	norm	Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes
Nuclear	norm	Heuristic Approach to Fractionally Spaced Blind Channel Equalization, A
Nuclear	norm	Regularized Sparse Coding
Nuclear	norm	-Based 2DLPP for Image Classification
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
On Estimating the	norm	of a Gaussian Vector Under Additive White Gaussian Noise
On Euclidean	norm	approximations
On Schatten-q quasi-	norm	induced matrix decomposition model for salient object detection
On the Role of the Bounded Lemma in the SDP Formulation of Atomic	norm	Problems
On the Suitability of Lp-	norm	s for Creating and Preventing Adversarial Examples
On the Use of the l_2 -	norm	for Texture Analysis of Polarimetric SAR Data
On the Use of Unit-	norm	Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications
On Variational Block Sparse Recovery With Unknown Partition and L_0-	norm	Constraint
One-Class Classification Using lp-	norm	Multiple Kernel Fisher Null Approach
Optimal Feature Selection for Robust Classification via L2,1-	norm	s Regularization
Optimal Geometric Fitting under the Truncated L2-	norm
Optimal mean two-dimensional principal component analysis with F-	norm	minimization
Optimization of Max-	norm	Objective Functions in Image Processing and Computer Vision
Optimum linear approximation of the Euclidean	norm	to speed up vector median filtering
Outlier Removal Power of the L1-	norm	Super-Resolution
p-	norm	variable step-size LMS algorithm for sparse system identification, A
Padua point interpolation and Lp-	norm	minimisation in colour-based image indexing and retrieval
Parametric Generalized Linear System Based on the Notion of the T-	norm
Pattern Classes in Retinal Fundus Images Based on Function	norm	s
Pedestrian detection in images via cascaded L1-	norm	minimization learning method
Peer-to-Peer multimedia sharing based on social	norm	s
PENDANTSS: PEnalized	norm	-Ratios Disentangling Additive Noise, Trend and Sparse Spikes
Performance Comparison between Equal-Average Equal-Variance Equal-	norm	Nearest Neighbor Search (EEENNS) Method and Improved Equal-Average Equal-Variance Nearest Neighbor Search (IEENNS) Method for Fast Encoding of Vector Quantization
Performance Re-Evaluation on Codewords Distribution-Based Optimal Combination of Equal-Average Equal-Variance Equal-	norm	Nearest Neighbor Fast Search Algorithm for Vector Quantization Encoding
Phase retrieval from incomplete data via weighted nuclear	norm	minimization
Point Triangulation through Polyhedron Collapse Using the L-inf	norm
Poisson Image Reconstruction With Hessian Schatten-	norm	Regularization
Pose Guided Person Image Generation With Hidden P-	norm	Regression
Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-	norm	Regularization
Practical low-rank matrix approximation under robust L1-	norm
Primal-dual algorithms for audio decomposition using mixed	norm	s
Principal Component Analysis Based on L1-	norm	Maximization
Principal Component Analysis by L_p-	norm	Maximization
projected gradient algorithm for image restoration under Hessian matrix-	norm	regularization, A
Properties of the k-	norm	pruning algorithm for decision tree classifiers
pROST: a smoothed lp -	norm	robust online subspace tracking method for background subtraction in video
Protein functional annotation refinement based on graph regularized l1-	norm	PCA
Proximal Riemannian Pursuit for Large-Scale Trace-	norm	Minimization
Pruning from Scratch via Shared Pruning Module and Nuclear	norm	-based Regularization
Pseudo-L0-	norm	Fast Iterative Shrinkage Algorithm Network: Agile Synthetic Aperture Radar Imaging via Deep Unfolding Network
QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving Lq-	norm	Optimization Problem
QR codes blind deconvolution algorithm based on binary characteristic and L0	norm	minimization
Quasi-Euclidean	norm	to Speed Up Vector Median Filtering, A
Quaternion Scalar and Vector	norm	Decomposition: Quaternion PCA for Color Face Recognition
Quaternion-based weighted nuclear	norm	minimization for color image restoration
Radiance-Reflectance Combined Optimization and Structure-Guided L_0-	norm	for Single Image Dehazing
Range-Angle Decoupling and Estimation for FDA-MIMO Radar via Atomic	norm	Minimization and Accelerated Proximal Gradient
Rank Minimization or Nuclear-	norm	Minimization: Are We Solving the Right Problem?
Rank-One Matrix Approximation With lp-	norm	for Image Inpainting
Real Aperture Radar Angular Super-Resolution Imaging Using Modified Smoothed L0	norm	with a Regularization Strategy
Real-time visual tracking using L2	norm	regularization based collaborative representation
Recovering shape and motion by a dynamic system for low-rank matrix approximation in L_1	norm
Regularization Paths for Re-Weighted Nuclear	norm	Minimization
Regularization Properties of Mumford-Shah-Type Functionals with Perimeter and	norm	Constraints for Linear Ill-Posed Problems
regularized least mean mixed	norm	multichannel image restoration algorithm, A
Removing Outliers Using The L-inf	norm
Revisiting Batch	norm	Initialization
Revisiting Learnable Affines for Batch	norm	in Few-Shot Transfer Learning
Reweighted infrared patch image model for small target detection based on non-convex Lp-	norm	minimisation and TV regularisation
Reweighted Nuclear	norm	and Reweighted Frobenius Norm Minimizations for Narrowband RFI Suppression on SAR System
Reweighted Nuclear	norm	and Reweighted Frobenius Norm Minimizations for Narrowband RFI Suppression on SAR System
RFI Suppression Based on Atomic	norm	Minimization in SAR Signal Recovery
Robot Model That Obeys a	norm	of a Human Group by Participating in the Group and Interacting with Its Members, A
Robust 2DPCA With Non-greedy L_1-	norm	Maximization for Image Analysis
Robust Feature Extraction via L_inf-	norm	Based Nonnegative Tucker Decomposition
Robust feature selection via L2,1-	norm	in finite mixture of regression
Robust Fixed Frequency Invariant Beamformer Design Subject to	norm	-Bounded Errors
Robust fuzzy local information and -	norm	distance-based image segmentation method
Robust geometric LP-	norm	feature pooling for image classification and action recognition
Robust Geometric Model Estimation Based on Scaled Welsch q-	norm
Robust L-1	norm	Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Robust L1-	norm	two-dimensional collaborative representation-based projection for dimensionality reduction
Robust low tubal rank tensor completion via factor tensor	norm	minimization
Robust Low-Rank Matrix Recovery as Mixed Integer Programming via L_0-	norm	Optimization
Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support	norm
Robust Maximum Likelihood estimation by sparse bundle adjustment using the L1	norm
Robust Multilinear Mixing Model with l2,1	norm	for Unmixing Hyperspectral Images, A
Robust Multiview Registration of 3D Surfaces via L_1-	norm	Minimization
Robust Neighborhood Preserving Projection by Nuclear/L2,1-	norm	Regularization for Image Feature Extraction
Robust Noisy Image Super-Resolution Using l1-	norm	Regularization and Non-local Constraint
Robust nonnegative matrix factorization via L1	norm	regularization by multiplicative updating rules
Robust Nuclear	norm	Regularized Regression for Face Recognition with Occlusion
Robust Nuclear	norm	-Based Matrix Regression With Applications to Robust Face Recognition
Robust point cloud registration based on topological graph and Cauchy weighted lq-	norm
Robust Recovery for Graph Signal via L_0-	norm	Regularization
Robust Sparse Hyperspectral Unmixing With L_2,1	norm
Robust Sparse Recovery in Impulsive Noise via Continuous Mixed	norm
Robust Tensor Analysis With L1-	norm
Robust tensor factorization using R1	norm
Robust Timing Calibration for PET Using L1-	norm	Minimization
Robust Two-Dimensional T L_1-	norm	Linear Discriminant Analysis for Image Recognition
Robust Watermarking on Polygonal Meshes Using Distribution of Vertex	norm	s
Robustness Analysis of Structured Matrix Factorization via Self-Dictionary Mixed-	norm	Optimization
Robustness of L_1-	norm	Estimation: From Folklore to Fact
RPC Estimation via L_1-	norm	-Regularized Least Squares (L1LS)
Salient object detection with low-rank approximation and l2,1-	norm	minimization
SAR Tomography Based on Atomic	norm	Minimization in Urban Areas
Scalable Projective Bundle Adjustment Algorithm using the L infinity	norm	, A
Scales in natural images and a consequence on their BV	norm
Score level fusion of multimodal biometrics using triangular	norm	s
Self-Supervised Nonlinear Transform-Based Tensor Nuclear	norm	for Multi-Dimensional Image Recovery
Self-weighting multi-view spectral clustering based on nuclear	norm
Semi-supervised learning with nuclear	norm	regularization
Semi-supervised multi-label feature selection via label correlation analysis with L1-	norm	graph embedding
Semi-supervised Robust Dictionary Learning via Efficient l-	norm	s Minimization
Sequential Bayesian Algorithms for Identification and Blind Equalization of Unit-	norm	Channels
Sequential L-inf	norm	Minimization for Triangulation
Ship Echo Identification Based on	norm	-Constrained Adaptive Beamforming for an Arrayed High-Frequency Coastal Radar
Signal Recovery From	norm	Measurements
Simple algorithm for L1-	norm	regularisation-based compressed sensing and image restoration
Simple and Fast Algorithm for L1-	norm	Kernel PCA, A
Single image dehazing by latent region-segmentation based transmission estimation and weighted L 1-	norm	regularisation
Single image dehazing using second-generation wavelet transforms and the mean vector L2-	norm
Single-particle reconstruction in cryo-EM based on three-dimensional weighted nuclear	norm	minimization
Smooth Approximation of L_infinity-	norm	for Multi-view Geometry
Smoothing Directional Vector Fields Using Dual	norm	s
Snapshot Multispectral Image Completion Via Self-Dictionary Transformed Tensor Nuclear	norm	Minimization With Total Variation
Spare L1-	norm	-based maximum margin criterion
Sparse Lq-	norm	least squares support vector machine with feature selection
Sparse matrix factorization with L2,1	norm	for matrix completion
Sparse Network Completion via Discrete-Constrained Nuclear-	norm	Minimization
Sparse	norm	regularized attribute selection for graph neural networks
Sparse PCA via L_2,p-	norm	Regularization for Unsupervised Feature Selection
sparse regularized nuclear	norm	based matrix regression for face recognition with contiguous occlusion, A
Sparse Structures in L-Infinity	norm	Minimization for Structure and Motion Reconstruction
Sparse time-frequency distributions based on the L1-	norm	minimization with the fast intersection of confidence intervals rule
Sparsity and persistence: mixed	norm	s provide simple signal models with dependent coefficients
Sparsity induced prototype learning via lp,1-	norm	grouping
Spatio-Temporal Auxiliary Particle Filtering With L_1-	norm	-Based Appearance Model Learning for Robust Visual Tracking
Spatiotemporal traffic data imputation via tensorial weighted Schatten-p	norm	minimization
Speckle Suppression Based on Weighted Nuclear	norm	Minimization and Grey Theory
Spectral clustering and spatial Frobenius	norm	-based Jaya optimisation for BS of hyperspectral images
Spectral Embedding	norm	: Looking Deep into the Spectrum of the Graph Laplacian
SS-	norm	: Spectral-spatial normalization for single-domain generalization with application to retinal vessel segmentation
Structure-Based Low-Rank Model With Graph Nuclear	norm	Regularization for Noise Removal
Structured dictionary learning using mixed-	norm	s and group-sparsity constraint
Structured Sparsity Optimization With Non-Convex Surrogates of L_l2,0-	norm	: A Unified Algorithmic Framework
Subpixel image registration regularised by L_1 and L_2	norm	s
Subspace Clustering With K-Support	norm
Subspace segmentation with a large number of subspaces using infinity	norm	minimization
Subspace segmentation with a Minimal Squared Frobenius	norm	Representation
Superresolution SAR Imaging Algorithm Based on MVM and Weighted	norm	Extrapolation
Supervised Mixed	norm	Autoencoder for Kinship Verification in Unconstrained Videos
Supervised Multiview Feature Selection Exploring Homogeneity and Heterogeneity With L_1,2-	norm	and Automatic View Generation
Support Vector Machines with Different	norm	s: Motivation, Formulations and Results
Supremum	norm	Based Near Neighbor Search in High Dimensional Spaces, A
Surface Reconstruction from Noisy Point Cloud Using Directional G-	norm
Synthesis and Applications of Lattice Image Operators Based on Fuzzy	norm	s
Taut-String Algorithm and Regularization Programs with G-	norm	Data Fit
Template Matching Based on the L_p	norm	Using Sufficient Conditions with Incremental Approximations
Tensor Robust Principal Component Analysis with a New Tensor Nuclear	norm
Tensor-Based Formulation and Nuclear	norm	Regularization for Multienergy Computed Tomography
Three kinds of color total-variation semi-	norm	s and its application to color-image denoising
thresholding algorithm for sparse recovery via Laplace	norm	, A
TNNG: Total Nuclear	norm	s of Gradients for Hyperspectral Image Prior
Tomographic SAR Inversion by L_1-	norm	Regularization: The Compressive Sensing Approach
Total Variation With Joint	norm	s For Infrared and Visible Image Fusion, A
Towards Discriminability and Diversity: Batch Nuclear-	norm	Maximization Under Label Insufficient Situations
Towards Robust Discriminative Projections Learning via Non-Greedy L_2,1-	norm	MinMax
Trace	norm	Regularization and Application to Tensor Based Feature Extraction
Tree-Structured Nuclear	norm	Approximation With Applications to Robust Face Recognition
Truncated Nuclear	norm	Minimization Based Group Sparse Representation for Image Restoration
Truncated Nuclear	norm	Regularization Method Based on Weighted Residual Error for Matrix Completion, A
Truncated Weighted Nuclear	norm	Regularization and Sparsity for Image Denoising
Two Polynomial Time Graph Labeling Algorithms Optimizing Max-	norm	-Based Objective Functions
Two-dimensional discriminant analysis based on Schatten p-	norm	for image feature extraction
Two-Dimensional Discriminant Locality Preserving Projection Based on l1-	norm	Maximization
Two-dimensional principal component analysis based on Schatten p-	norm	for image feature extraction
U-	norm	Likelihood Normalization in PIN-Based Speaker Verification Systems
Ultrasound Image Restoration Using Weighted Nuclear	norm	Minimization
Understanding open-set recognition by Jacobian	norm	and inter-class separation
Understanding the Feature	norm	for Out-of-Distribution Detection
Undoing the codebook bias by linear transformation with sparsity and F-	norm	constraints for image classification
Unifying Nuclear	norm	and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition
Uniqueness, the Minimum	norm	Constraint, and Analog Networks for Optical Flow Along Contours
Unitary Transform-Based Template Protection and Its Application to l2-	norm	Minimization Problems
Unsupervised and semi-supervised learning via l1-	norm	graph
Unsupervised discriminative feature selection in a kernel space via L2,1-	norm	minimization
Variational Bayesian View of Weighted Trace	norm	Regularization for Matrix Factorization
Vectorized total variation defined by weighted L infinity	norm	for utilizing inter channel dependency
Video Cut Detector via Adaptive Features using the Frobenius	norm
Visual data denoising with a unified Schatten-p	norm	and lq norm regularized principal component pursuit
Visual data denoising with a unified Schatten-p	norm	and lq norm regularized principal component pursuit
Visual Object Clustering via Mixed-	norm	Regularization
Weakly Supervised Segmentation of Cracks on Solar Cells Using	norm	alized Lp Norm
Weighted Nuclear	norm	Minimization and Its Applications to Low Level Vision
Weighted Nuclear	norm	Minimization with Application to Image Denoising
Weighted Schatten P-	norm	Minimization with Local and Nonlocal Constraints for Noisy Image Completion
Weighted Schatten-p	norm	Minimization for Image Denoising and Background Subtraction
Weighted tensor nuclear	norm	minimization for color image denoising
Weighted tensor nuclear	norm	minimization for tensor completion using tensor-SVD
Weighted truncated nuclear	norm	regularization for low-rank quaternion matrix completion
Zero	norm	Least Squares Proximal SVR
Zero shot learning by partial transfer from source domain with L2,1	norm	constraint

557 for norm

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