| Quantum-Enhanced Deep Learning-Based Lithology Interpretation From Well Logs | 0 | 0.34 | 2022 |
| On the uniqueness of virtual substrate for metasurface in a dielectric half-space | 0 | 0.34 | 2022 |
| Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing | 0 | 0.34 | 2022 |
| A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution | 0 | 0.34 | 2022 |
| Graph Neural Network Encoding for Community Detection in Attribute Networks | 1 | 0.35 | 2022 |
| Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient | 0 | 0.34 | 2021 |
| Variational Bayes' Method For Functions With Applications To Some Inverse Problems | 0 | 0.34 | 2021 |
| Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study | 0 | 0.34 | 2021 |
| Abnormality detection in retinal image by individualized background learning | 0 | 0.34 | 2020 |
| Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing | 0 | 0.34 | 2020 |
| Nonconvex-sparsity and Nonlocal-smoothness Based Blind Hyperspectral Unmixing. | 1 | 0.34 | 2019 |
| An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification | 0 | 0.34 | 2019 |
| Robust CSI Estimation under Complex Communication Environment | 0 | 0.34 | 2019 |
| Semi-Supervised Transfer Learning For Image Rain Removal | 9 | 0.44 | 2019 |
| Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. | 0 | 0.34 | 2019 |
| A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. | 12 | 0.47 | 2018 |
| Convergence of multi-block Bregman ADMM for nonconvex composite problems | 14 | 0.62 | 2018 |
| Semi-supervised CNN for Single Image Rain Removal. | 0 | 0.34 | 2018 |
| Model-Driven Deep Learning for Physical Layer Communications. | 31 | 1.02 | 2018 |
| Margin Based PU Learning. | 0 | 0.34 | 2018 |
| Denoising Hyperspectral Image with Non-i.i.d. Noise Structure. | 10 | 0.45 | 2018 |
| Unsupervised PolSAR Image Classification Using Discriminative Clustering. | 1 | 0.35 | 2017 |
| Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network. | 0 | 0.34 | 2017 |
| Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. | 6 | 0.46 | 2017 |
| Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network. | 21 | 0.74 | 2017 |
| Shrinkage Degree in L2-Rescale Boosting for Regression. | 0 | 0.34 | 2017 |
| Learning capability of the truncated greedy algorithm. | 0 | 0.34 | 2016 |
| Learning With ℓ¹-Regularizer Based on Markov Resampling | 3 | 0.38 | 2016 |
| Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. | 24 | 0.68 | 2016 |
| Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. | 12 | 0.59 | 2016 |
| Deep ADMM-Net for Compressive Sensing MRI. | 14 | 0.49 | 2016 |
| Robust Visual Tracking via Sparse Representation under Subclass Discriminant Constraint | 4 | 0.39 | 2016 |
| A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. | 0 | 0.34 | 2015 |
| Error Estimate for Spherical Neural Networks Interpolation | 1 | 0.37 | 2015 |
| Is extreme learning machine feasible? A theoretical assessment (part I). | 6 | 0.49 | 2015 |
| Video Primal Sketch: A Unified Middle-Level Representation for Video. | 4 | 0.39 | 2015 |
| The generalization ability of online SVM classification based on Markov sampling. | 8 | 0.45 | 2015 |
| Spatial and Spectral Image Fusion Using Sparse Matrix Factorization | 12 | 0.66 | 2014 |
| Restricted p-isometry properties of nonconvex block-sparse compressed sensing. | 5 | 0.42 | 2014 |
| Learning rates of lq coefficient regularization learning with gaussian kernel. | 0 | 0.34 | 2014 |
| The generalization performance of regularized regression algorithms based on Markov sampling. | 7 | 0.47 | 2014 |
| Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising | 61 | 1.31 | 2014 |
| Robust Principal Component Analysis with Complex Noise. | 43 | 1.04 | 2014 |
| Greedy metrics in orthogonal greedy learning. | 2 | 0.41 | 2014 |
| Sparse solution of underdetermined linear equations via adaptively iterative thresholding | 1 | 0.35 | 2014 |
| A novel L1/2 regularization shooting method for Cox's proportional hazards model | 0 | 0.34 | 2014 |
| Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. | 25 | 0.86 | 2013 |
| On recovery of block-sparse signals via mixed l2/lq (0 < q ¿ 1) norm minimization. | 3 | 0.38 | 2013 |
| Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds | 3 | 0.37 | 2013 |
| Learning dictionary from signals under global sparsity constraint | 7 | 0.41 | 2013 |
