Index for l_p

_	l_p	_
Capped	l_p	-Norm LDA for Outliers Robust Dimension Reduction
Deep Inertia	l_p	Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction
Edge-preserving smoothing using the truncated	l_p	minimization
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
Exact NLMS Algorithm with	l_p	-Norm Constraint
Fast Fourier-Domain Optimization Using Hybrid L1-/	l_p	-Norm for Autofocus in Airborne SAR Imaging
From Simulated to Visual Data: A Robust Low-Rank Tensor Completion Approach Using	l_p	-Regression for Outlier Resistance
General-Thresholding Solution for	l_p	(0< p< 1) Regularized CT Reconstruction, A
Infimal Convolution Regularisation Functionals of BV and	l_p	Spaces
Intensity non-uniformity correction of aerothermal images via	l_p	-regularized minimization
Low-Light Image Enhancement Using a Retinex-Based Variational Model with Weighted	l_p	Norm Constraint
	l_p	Norm Localized Multiple Kernel Learning via Semi-Definite Programming
	l_p	-L_p-Box ADMM: A Versatile Framework for Integer Programming
	l_p	-L_p-Box ADMM: A Versatile Framework for Integer Programming
	l_p	-Norm IDF for Scalable Image Retrieval
Non-Lipschitz	l_p	-Regularization and Box Constrained Model for Image Restoration
Nonconvex Weighted	l_p	Minimization Based Group Sparse Representation Framework for Image Denoising
On the Null Space Constant for	l_p	Minimization
Principal Component Analysis by	l_p	-Norm Maximization
Sufficient Condition of Non-Convex	l_p	-betaL_q Minimization for Sparse Recovery, A
Template Matching Based on the	l_p	Norm Using Sufficient Conditions with Incremental Approximations
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and	l_p	Minimization
Vehicle Behavior Learning via Sparse Reconstruction with L_2-	l_p	Minimization and Trajectory Similarity

23 for l_p

Index for "l"