_ | l_0 | _ |
Blind Deconvolution With Nonlocal Similarity and | l_0 | Sparsity for Noisy Image |
Collaborative Sparse Hyperspectral Unmixing Using | l_0 | Norm |
Continuous Exact | l_0 | Penalty (CEL0) for Least Squares Regularized Problem, A |
Description of the Minimizers of Least Squares Regularized with | l_0 | -norm. Uniqueness of the Global Minimizer |
Directional | l_0 | Sparse Modeling for Image Stripe Noise Removal |
Edge guided compressive sensing for image reconstruction based on two-stage | l_0 | minimization |
Fast and Effective | l_0 | Gradient Minimization by Region Fusion |
Fast | l_0 | -Regularized Kernel Estimation for Robust Motion Deblurring |
Hyperspectral Restoration via | l_0 | Gradient Regularized Low-Rank Tensor Factorization |
Image smoothing via a scale-aware filter and | l_0 | norm |
Improved Solution to the | l_0 | Regularized Optimization Problem via Dictionary-Reduced Initial Guess |
Intensity-Guided Depth Upsampling Using Edge Sparsity and Weighted | l_0 | Gradient Minimization |
Large-Scale | l_0 | -Norm and L_1-Norm 2-D Phase Unwrapping |
| l_0 | Gradient Projection |
| l_0 | Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images, The |
| l_0 | Regularized Stationary Time Estimation for Crowd Group Analysis |
| l_0 | Regularized Stationary-Time Estimation for Crowd Analysis |
| l_0 | Smoothing Based on Gradient Constraints |
| l_0 | TV: A Sparse Optimization Method for Impulse Noise Image Restoration |
| l_0 | -Norm Sparse Hyperspectral Unmixing Using Arctan Smoothing |
| l_0 | -overlapping group sparse total variation for impulse noise image restoration, An |
| l_0 | -Regularized Image Downscaling |
| l_0 | -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond |
Majorize-Minimize Subspace Approach for L_2- | l_0 | Image Regularization, A |
Multi-Tissue Decomposition of Diffusion MRI Signals via | l_0 | Sparse-Group Estimation |
Newton-Type Greedy Selection Methods for | l_0 | -Constrained Minimization |
On Variational Block Sparse Recovery With Unknown Partition and | l_0 | -Norm Constraint |
Optimal Sparsity Tradeoff in | l_0 | -NLMS Algorithm |
Optimum inpainting for depth map based on | l_0 | total variation |
Quick response barcode deblurring via | l_0 | regularisation based sparse optimisation |
Radiance-Reflectance Combined Optimization and Structure-Guided | l_0 | -Norm for Single Image Dehazing |
Robust Low-Rank Matrix Recovery as Mixed Integer Programming via | l_0 | -Norm Optimization |
Robust Non-rigid Motion Tracking and Surface Reconstruction Using | l_0 | Regularization |
Robust Recovery for Graph Signal via | l_0 | -Norm Regularization |
Saliency Detection via Nonlocal | l_0 | Minimization |
Should We Search for a Global Minimizer of Least Squares Regularized with an | l_0 | Penalty to Get the Exact Solution of an under Determined Linear System? |
Spatially Sparse, Temporally Smooth MEG Via Vector | l_0 | |
Stripe noise removal of remote sensing image with a directional | l_0 | sparse model |
Support Vector Machine Classifier via | l_0 | /1 Soft-Margin Loss |
Wavelet Frame-Based Image Restoration via L_2-Relaxed Truncated | l_0 | Regularization and Nonlocal Estimation |
X-ray CT Metal Artifact Reduction Using Wavelet Domain | l_0 | Sparse Regularization |
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