| _ | nonnegative | _ |
|---|
| Abnormal event detection using spatio-temporal feature and | nonnegative | locality-constrained linear coding |
| Accelerated sparse | nonnegative | matrix factorization for unsupervised feature learning |
| Action Recognition in Videos Using | nonnegative | Tensor Factorization |
| Action Recognition Using | nonnegative | Action Component Representation and Sparse Basis Selection |
| AdaNFF: A new method for adaptive | nonnegative | multi-feature fusion to scene classification |
| Adaptive graph regularized | nonnegative | Matrix Factorization via feature selection |
| Adaptive graph-based discriminative | nonnegative | matrix factorization for image clustering |
| Adaptive weighted | nonnegative | low-rank representation |
| Adversarially-Trained | nonnegative | Matrix Factorization |
| Approach Based on Constrained | nonnegative | Matrix Factorization to Unmix Hyperspectral Data, An |
| Automated Graph Regularized Projective | nonnegative | Matrix Factorization for Document Clustering |
| Automatic Relevance Determination in | nonnegative | Matrix Factorization with the beta-Divergence |
| Automatic segmentation of pathological lung using incremental | nonnegative | matrix factorization |
| Bayesian Inference for | nonnegative | Matrix Factor Deconvolution Models |
| Bayesian regularized | nonnegative | matrix factorization based face features learning |
| Bilateral Filter Regularized L2 Sparse | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in | nonnegative | Matrix Factorization |
| Binary Sparse | nonnegative | Matrix Factorization |
| Biobjective | nonnegative | Matrix Factorization: Linear Versus Kernel-Based Models |
| Blind Decomposition of Multispectral Document Images Using Orthogonal | nonnegative | Matrix Factorization |
| Blind nonlinear hyperspectral unmixing based on constrained kernel | nonnegative | matrix factorization |
| Blind Spectral Unmixing Based on Sparse | nonnegative | Matrix Factorization |
| Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to | nonnegative | Tensor Factorization and Completion, A |
| Block Iteratively Reweighted Algorithms for Robust Symmetric | nonnegative | Matrix Factorization |
| Cloud removal in remote sensing images using | nonnegative | matrix factorization and error correction |
| Collaborative Unmixing Hyperspectral Imagery via | nonnegative | Matrix Factorization |
| Comparison of | nonnegative | Eigenvalue Decompositions With and Without Reflection Symmetry Assumptions |
| Conditions for | nonnegative | independent component analysis |
| Consistency-Constrained | nonnegative | Coding for Tracking |
| Constrained | nonnegative | Matrix Factorization for Image Representation |
| Constructing a | nonnegative | Low-Rank and Sparse Graph With Data-Adaptive Features |
| Context aware | nonnegative | matrix factorization clustering |
| Convex and Semi- | nonnegative | Matrix Factorizations |
| Convex Model for | nonnegative | Matrix Factorization and Dimensionality Reduction on Physical Space, A |
| Convex Optimization-Based Coupled | nonnegative | Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion, A |
| Coupled | nonnegative | Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion |
| Decomposing the video editing structure of a talk-show using | nonnegative | matrix factorization |
| Deep asymmetric | nonnegative | matrix factorization for graph clustering |
| Deep | nonnegative | Dictionary Factorization for Hyperspectral Unmixing |
| Deep nonsmooth | nonnegative | matrix factorization network with semi-supervised learning for SAR image change detection |
| Discriminative deep semi- | nonnegative | matrix factorization network with similarity maximization for unsupervised feature learning |
| Distributionally Robust and Multi-Objective | nonnegative | Matrix Factorization |
| Dual subspace | nonnegative | matrix factorization for person-invariant facial expression recognition |
| Dynamic PET Image Reconstruction Using | nonnegative | Matrix Factorization Incorporated With Deep Image Prior |
| Effective Mean-Field Inference Method for | nonnegative | Boltzmann Machines |
| Efficient algorithm for sparse symmetric | nonnegative | matrix factorization |
| Efficient Feature Matching via | nonnegative | Orthogonal Relaxation |
| Efficient | nonnegative | Matrix Factorization via projected Newton method |
| Efficient | nonnegative | Tucker Decompositions: Algorithms and Uniqueness |
| Elastic | nonnegative | matrix factorization |
| Endmember Initialization Scheme for | nonnegative | Matrix Factorization and Its Application in Hyperspectral Unmixing, An |
| Entire frame image display employing monotonic convergent | nonnegative | matrix factorization |
| Evaluation of Different Algorithms of | nonnegative | Matrix Factorization in Temporal Psychovisual Modulation |
| Fast and Robust Recursive Algorithms for Separable | nonnegative | Matrix Factorization |
| Fast Decomposition of Large | nonnegative | Tensors |
| Fast Gradient Method for | nonnegative | Sparse Regression With Self-Dictionary, A |
| Fast Multi-View Clustering via | nonnegative | and Orthogonal Factorization |
| Fast Recursive | nonnegative | Standard and Hierarchical Tucker Decomposition |
| Forgery Detection in Hyperspectral Document Images using Graph Orthogonal | nonnegative | Matrix Factorization |
| From local representation to global face hallucination: A novel super-resolution method by | nonnegative | feature transformation |
| Generalized Separable | nonnegative | Matrix Factorization |
| Global and local structure preserving | nonnegative | subspace clustering |
| Global discriminative-based | nonnegative | spectral clustering |
| Graph Regularized | nonnegative | Matrix Factorization for Data Representation |
| Graph regularized | nonnegative | sparse coding using incoherent dictionary for approximate nearest neighbor search |
| Graph-Based Blind Hyperspectral Unmixing via | nonnegative | Matrix Factorization |
| Graph-Preserving Sparse | nonnegative | Matrix Factorization With Application to Facial Expression Recognition |
| Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by | nonnegative | Discretization |
| Hierarchical Clustering of Hyperspectral Images Using Rank-Two | nonnegative | Matrix Factorization |
| Hierarchical Sparse | nonnegative | Matrix Factorization for Hyperspectral Unmixing with Spectral Variability |
| Hypergraph based semi-supervised symmetric | nonnegative | matrix factorization for image clustering |
| Hypersharpening by Joint-Criterion | nonnegative | Matrix Factorization |
| Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank | nonnegative | Tensor Factorization |
| Hyperspectral Unmixing Based on Incremental Kernel | nonnegative | Matrix Factorization |
| Hyperspectral Unmixing Using Robust Deep | nonnegative | Matrix Factorization |
| Hyperspectral Unmixing Using Sparsity-Constrained Deep | nonnegative | Matrix Factorization With Total Variation |
| Hyperspectral Unmixing via L_1/2 Sparsity-Constrained | nonnegative | Matrix Factorization |
| Hyperspectral Unmixing via Total Variation Regularized | nonnegative | Tensor Factorization |
| Image representation using Laplacian regularized | nonnegative | tensor factorization |
| Improved hypergraph regularized | nonnegative | Matrix Factorization with sparse representation |
| Improved self-paced learning framework for | nonnegative | matrix factorization |
| Improved SVD-based initialization for | nonnegative | matrix factorization using low-rank correction |
| Improving facial expression analysis using histograms of Log-Transformed | nonnegative | Sparse Representation with a Spatial Pyramid Structure |
| Incomplete multiview | nonnegative | representation learning with multiple graphs |
| Incremental clustering via | nonnegative | matrix factorization |
| Incremental learning based on block sparse kernel | nonnegative | matrix factorization |
| Inductive hierarchical | nonnegative | graph embedding for verb-object image classification |
| Inertia-Constrained Pixel-by-Pixel | nonnegative | Matrix Factorisation: A Hyperspectral Unmixing Method Dealing with Intra-Class Variability |
| Interior Point Method for | nonnegative | Sparse Signal Reconstruction, An |
| Inverse | nonnegative | Local Coordinate Factorization for Visual Tracking |
| Joint feature representation and classification via adaptive graph semi-supervised | nonnegative | matrix factorization |
| Joint Learning of Fuzzy k-Means and | nonnegative | Spectral Clustering With Side Information |
| Joint sparse matrix regression and | nonnegative | spectral analysis for two-dimensional unsupervised feature selection |
| Joint spatial variables | nonnegative | matrix factorization using constrained gradient method to pansharpen multispectral images |
| K-WEB: | nonnegative | dictionary learning for sparse image representations |
| Laplacian Regularized | nonnegative | Representation for Clustering and Dimensionality Reduction |
| Large margin based | nonnegative | matrix factorization and partial least squares regression for face recognition |
| Learning a | nonnegative | Sparse Graph for Linear Regression |
| Learning Auto-Structured Regressor from Uncertain | nonnegative | Labels |
| Learning of | nonnegative | Matrix Factorization Models for Inconsistent Resolution Dataset Analysis |
| Logarithmic reweighting | nonnegative | least mean square algorithm |
| Low-Complexity Single-Image Super-Resolution based on | nonnegative | Neighbor Embedding |
| Low-rank | nonnegative | sparse representation and local preservation-based matrix regression for supervised image feature selection |
| Lung segmentation based on | nonnegative | Matrix Factorization |
| L_1/2 Sparsity Constrained | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Majorization-Minimization Algorithm for | nonnegative | Binary Matrix Factorization, A |
| Manifold Regularized Discriminative | nonnegative | Matrix Factorization With Fast Gradient Descent |
| Manifold-respecting discriminant | nonnegative | matrix factorization |
| Matrix-Vector | nonnegative | Tensor Factorization for Blind Unmixing of Hyperspectral Imagery |
| Maximum Likelihood Estimation Based | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized | nonnegative | Matrix Factorization |
| Method for Finding Structured Sparse Solutions to | nonnegative | Least Squares Problems with Applications, A |
| Minimum Dispersion Constrained | nonnegative | Matrix Factorization to Unmix Hyperspectral Data |
| Modified | nonnegative | Matrix Factorization Using the Hadamard Product to Estimate Real-Time Continuous Finger-Motion Intentions |
| Multi-task co-clustering via | nonnegative | matrix factorization |
| Multi-Task | nonnegative | Matrix Factorization |
| Multi-View Autoencoder for Image Feature Learning with Structured | nonnegative | Low Rank |
| Multi-view clustering with Laplacian rank constraint based on symmetric and | nonnegative | low-rank representation |
| Multi-view | nonnegative | Matrix Factorization for Clothing Image Characterization |
| Multi-way constrained spectral clustering by | nonnegative | restriction |
| Multilayer manifold and sparsity constrained | nonnegative | matrix factorization for hyperspectral unmixing |
| Multiple graph regularized | nonnegative | matrix factorization |
| Multiplicative | nonnegative | graph embedding |
| Multitask Sparse | nonnegative | Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising |
| Multiview Clustering via Hypergraph Induced Semi-Supervised Symmetric | nonnegative | Matrix Factorization |
| Neighborhood Preserving | nonnegative | Matrix Factorization |
| New Stochastic Optimization Algorithm to Decompose Large | nonnegative | Tensors, A |
| Non-dictionary Aided Sparse Unmixing of Hyperspectral Images via Weighted | nonnegative | Matrix Factorization |
| Nonlinear Hyperspectral Unmixing With Robust | nonnegative | Matrix Factorization |
| Nonlinear | nonnegative | Component Analysis |
| Nonlinear | nonnegative | matrix factorization based on Mercer kernel construction |
| Nonlinear Unmixing of Hyperspectral Data Using Semi- | nonnegative | Matrix Factorization |
| nonnegative | and Adaptive Multi-view Clustering |
| nonnegative | and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution |
| nonnegative | coding based ensemble tracking |
| nonnegative | color spectrum analysis filters from principal component analysis characteristic spectra |
| nonnegative | Component Representation with Hierarchical Dictionary Learning Strategy for Action Recognition |
| nonnegative | Decompositions for Dynamic Visual Data Analysis |
| nonnegative | Diffusion Orientation Distribution Function |
| nonnegative | Discriminant Matrix Factorization |
| nonnegative | Embeddings and Projections for Dimensionality Reduction and Information Visualization |
| nonnegative | features of spectro-temporal sounds for classification |
| nonnegative | Joint Diagonalization by Congruence Based on LU Matrix Factorization |
| nonnegative | Laplacian embedding guided subspace learning for unsupervised feature selection |
| nonnegative | Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization |
| nonnegative | Local Coordinate Factorization for Image Representation |
| nonnegative | Locally Linear KNN model for image recognition, A |
| nonnegative | Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion |
| nonnegative | Matrix and Tensor Factorizations: An algorithmic perspective |
| nonnegative | Matrix Cofactorization for Weakly Supervised Image Parsing |
| nonnegative | matrix factorization algorithms for link prediction in temporal networks using graph communicability |
| nonnegative | matrix factorization based on projected hybrid conjugate gradient algorithm |
| nonnegative | matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain |
| nonnegative | Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications |
| nonnegative | Matrix Factorization on Orthogonal Subspace |
| nonnegative | Matrix Factorization Using Nonnegative Polynomial Approximations |
| nonnegative | Matrix Factorization Using Nonnegative Polynomial Approximations |
| nonnegative | matrix factorization with bounded total variational regularization for face recognition |
| nonnegative | Matrix Factorization With Data-Guided Constraints For Hyperspectral Unmixing |
| nonnegative | matrix factorization with deterministic annealing for unsupervised unmixing of hyperspectral imagery |
| nonnegative | Matrix Factorization with Earth Mover's Distance metric |
| nonnegative | Matrix Factorization with Earth Mover's Distance Metric for Image Analysis |
| nonnegative | matrix factorization with endmember sparse graph learning for hyperspectral unmixing |
| nonnegative | Matrix Factorization with Gibbs Random Field modeling |
| nonnegative | Matrix Underapproximation for Robust Multiple Model Fitting |
| nonnegative | OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction |
| nonnegative | Sparse and Collaborative Method for Hyperspectral Target Detection, A |
| nonnegative | Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and L_1 Minimization |
| nonnegative | sparse coding for discriminative semi-supervised learning |
| nonnegative | Sparse PCA |
| nonnegative | Tensor Cofactorization and Its Unified Solution |
| nonnegative | Tensor CP Decomposition of Hyperspectral Data |
| nonnegative | Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications |
| nonnegative | Tucker Decomposition |
| nonnegative | -Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers |
| Nonsmooth | nonnegative | Matrix Factorization (nsNMF) |
| Novel Hyperspectral Image Simulation Method Based on | nonnegative | Matrix Factorization, A |
| Novel Method for Hyperspectral Mineral Mapping Based on Clustering-Matching and | nonnegative | Matrix Factorization, A |
| Novel Proximal Gradient Methods for | nonnegative | Matrix Factorization with Sparsity Constraints |
| On Identifiability of | nonnegative | Matrix Factorization |
| On semi-definiteness and minimal H-eigenvalue of a symmetric space tensor using | nonnegative | polynomial optimization techniques |
| Optimal | nonnegative | Color Scanning Filters |
| Optimal | nonnegative | Eigenvalue Decomposition for the Freeman and Durden Three-Component Scattering Model, An |
| Orthogonal | nonnegative | Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery |
| PCA and SVD with | nonnegative | loadings |
| Person Re-identification Based on Relaxed | nonnegative | Matrix Factorization with Regularizations |
| Phonocardiogram Signal Denoising Based on | nonnegative | Matrix Factorization and Adaptive Contour Representation Computation |
| Poisson | nonnegative | matrix factorization method with parameter subspace clustering constraint for endmember extraction in hyperspectral imagery, A |
| Positive and Negative Label-Driven | nonnegative | Matrix Factorization |
| Progressive Hierarchical Alternating Least Squares Method for Symmetric | nonnegative | Matrix Factorization, A |
| Projected Barzilai-Borwein Method with Infeasible Iterates for | nonnegative | Least-Squares Image Deblurring |
| Projective | nonnegative | Graph Embedding |
| Projective | nonnegative | Matrix Factorization for Image Compression and Feature Extraction |
| Putting | nonnegative | Matrix Factorization to the Test: A tutorial derivation of pertinent Cramer-Rao bounds and performance benchmarking |
| Quadratic | nonnegative | matrix factorization |
| Randomized | nonnegative | matrix factorization |
| Ray-Space-Based Multichannel | nonnegative | Matrix Factorization for Audio Source Separation |
| Recursive Sparse Blind Source Separation Method for | nonnegative | and Correlated Data in NMR Spectroscopy, A |
| Regularized asymmetric | nonnegative | matrix factorization for clustering in directed networks |
| Reinforcing Neuron Extraction from Calcium Imaging Data via Depth-Estimation Constrained | nonnegative | Matrix Factorization |
| Robust (Semi) | nonnegative | Graph Embedding |
| Robust 3D Watermarking Technique Using Eigendecomposition and | nonnegative | Matrix Factorization |
| Robust Collaborative | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Robust discriminative | nonnegative | dictionary learning for occluded face recognition |
| Robust Feature Extraction via L_inf-Norm Based | nonnegative | Tucker Decomposition |
| Robust | nonnegative | matrix factorization via L1 norm regularization by multiplicative updating rules |
| Robust semi-supervised | nonnegative | matrix factorization for image clustering |
| Robust unsupervised feature selection by | nonnegative | sparse subspace learning |
| SAR Target Recognition via Incremental | nonnegative | Matrix Factorization |
| Scalable Graph-Based Clustering With | nonnegative | Relaxation for Large Hyperspectral Image |
| Scenario Discovery Using | nonnegative | Tensor Factorization |
| Self-Paced | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Self-supervised semi-supervised | nonnegative | matrix factorization for data clustering |
| Self-Supervised Symmetric | nonnegative | Matrix Factorization |
| Semi- | nonnegative | Matrix Factorization for Motion Segmentation with Missing Data |
| Semi-supervised graph regularized | nonnegative | matrix factorization with local coordinate for image representation |
| Semi-Supervised | nonnegative | Matrix Factorization |
| Semi-Supervised | nonnegative | Matrix Factorization via Constraint Propagation |
| Ship Detection in SAR Images via Enhanced | nonnegative | Sparse Locality-Representation of Fisher Vectors |
| Similarity Constrained Convex | nonnegative | Matrix Factorization for Hyperspectral Anomaly Detection |
| Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized | nonnegative | Matrix Factorization |
| Slow features | nonnegative | matrix factorization for temporal data decomposition |
| Smooth | nonnegative | Matrix Factorization for Unsupervised Audiovisual Document Structuring |
| Sparse | nonnegative | dynamic mode decomposition |
| Sparse | nonnegative | Matrix Factorization for Hyperspectral Unmixing Based on Endmember Independence and Spatial Weighted Abundance |
| sparse | nonnegative | matrix factorization technique for graph matching problems, A |
| Sparse Recovery by Means of | nonnegative | Least Squares |
| Sparse representation using | nonnegative | curds and whey |
| Sparse, collaborative, or | nonnegative | representation: Which helps pattern classification? |
| Spatial Group Sparsity Regularized | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Spatial Image Steganography Method Based on | nonnegative | Matrix Factorization, A |
| Spectral-Spatial Robust | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| stable approach for model order selection in | nonnegative | matrix factorization, A |
| Static and Dynamic Source Separation Using | nonnegative | Factorizations: A unified view |
| Structurally Incoherent Low-Rank | nonnegative | Matrix Factorization for Image Classification |
| Structured Convex Optimization Method for Orthogonal | nonnegative | Matrix Factorization |
| Structured Discriminative | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Subclass discriminant | nonnegative | Matrix Factorization for facial image analysis |
| Successive | nonnegative | Projection Algorithm for Robust Nonnegative Blind Source Separation |
| Successive | nonnegative | Projection Algorithm for Robust Nonnegative Blind Source Separation |
| SVD based initialization: A head start for | nonnegative | matrix factorization |
| Symmetric | nonnegative | Matrix Factorization With Beta-Divergences |
| Tag Refinement for User-Contributed Images via Graph Learning and | nonnegative | Tensor Factorization |
| Total Variation Regularized Reweighted Sparse | nonnegative | Matrix Factorization for Hyperspectral Unmixing |
| Transfer | nonnegative | Matrix Factorization for Image Representation |
| Trust-Region Algorithm for | nonnegative | Matrix Factorization with Alpha- and Beta-Divergences |
| Two Dimensional | nonnegative | Matrix Factorization |
| Two Efficient Algorithms for Approximately Orthogonal | nonnegative | Matrix Factorization |
| Underdetermined DOA Estimation Method for Wideband Signals Using Joint | nonnegative | Sparse Bayesian Learning |
| Uni-orthogonal | nonnegative | Tucker Decomposition for Supervised Image Classification |
| Unsupervised estimation of segmentation quality using | nonnegative | factorization |
| Unsupervised feature selection by | nonnegative | sparsity adaptive subspace learning |
| Unsupervised Feature Selection via Graph Regularized | nonnegative | CP Decomposition |
| Unsupervised Feature Selection via | nonnegative | Spectral Analysis and Redundancy Control |
| Unsupervised Multiview | nonnegative | Correlated Feature Learning for Data Clustering |
| Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained | nonnegative | Matrix Factorization |
| Unsupervised Sparse, | nonnegative | , Low Rank Dictionary Learning for Detection of Driver Cell Phone Usage |
| Using underapproximations for sparse | nonnegative | matrix factorization |
| Variational Bayesian Orthogonal | nonnegative | Matrix Factorization Over the Stiefel Manifold |
| Visual Tracking via | nonnegative | Multiple Coding |
| Visual Tracking via | nonnegative | Regularization Multiple Locality Coding |
| Visual Tracking via Online | nonnegative | Matrix Factorization |
| Wavelet Speech Enhancement Based on | nonnegative | Matrix Factorization |
263 for nonnegative