| _ | nmf | _ |
|---|
| Accelerated image factorization based on improved | nmf | algorithm |
| Bayesian approach to the Lee-Seung update rules for | nmf | , A |
| Change Detection in SAR Images Based on Deep Semi- | nmf | and SVD Networks |
| Cluster constraint based sparse | nmf | for hyperspectral imagery unmixing |
| Cluster-Wise Weighted | nmf | for Hyperspectral Images Unmixing with Imbalanced Data |
| Color channel encoding with | nmf | for face recognition |
| Designing Coded Aperture Camera Based on PCA and | nmf | for Light Field Acquisition |
| Discriminative Training of | nmf | Model Based on Class Probabilities for Speech Enhancement |
| Double Constrained | nmf | for Hyperspectral Unmixing |
| Double Constrained | nmf | for Partial Multi-View Clustering |
| Dual Graph Regularized | nmf | for Hyperspectral Unmixing |
| Efficient Object Detection Using Orthogonal | nmf | Descriptor Hierarchies |
| Exploiting the SVM constraints in | nmf | with application in eating and drinking activity recognition |
| Font Classification Using | nmf | |
| Genetic Algorithm-Based Adaptive Wiener Gain for Speech Enhancement Using an Iterative Posterior | nmf | |
| Graph regularised sparse | nmf | factorisation for imagery de-noising |
| Hierarchical online | nmf | for detecting and tracking topic hierarchies in a text stream |
| Hyperspectral Tissue Image Segmentation Using Semi-Supervised | nmf | and Hierarchical Clustering |
| Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based | nmf | |
| Illuminant dependence of PCA, | nmf | and NTF in spectral color imaging |
| Key-frame based video fingerprinting by | nmf | |
| Manifold Regularized Sparse | nmf | for Hyperspectral Unmixing |
| Max-Margin Semi- | nmf | |
| Modular | nmf | Matching Algorithm for Radiation Spectra, A |
| MSdB- | nmf | : MultiSpectral Document Image Binarization Framework via Non-Negative Matrix Factorization Approach |
| nmf | |
| nmf | Perspective on Binary Hashing, An |
| nmf | with feature relationship preservation penalty term for clustering problems |
| nmf | with Log-Gabor Wavelets for Visualization |
| nmf | with Sparse Regularizations in Transformed Domains |
| nmf | , LNMF, and DNMF modeling of neural receptive fields involved in human facial expression perception |
| nmf | -Based Comprehensive Latent Factor Learning with Multiview Data |
| nmf | -based multimodal image indexing for querying by visual example |
| nmf | -Based Spectral Reflectance Estimation From Image Pairs Including Near-Infrared Components |
| nmf | -Based Speech Enhancement Using Bases Update |
| nmf | -based Target Source Separation Using Deep Neural Network |
| nmf | -KNN: Image Annotation Using Weighted Multi-view Non-negative Matrix Factorization |
| nmf | -SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease |
| Nonlinear Orthogonal | nmf | on the Stiefel Manifold With Graph-Based Total Variation Regularization |
| Online video scene clustering by competitive incremental | nmf | |
| Partial Linear | nmf | -Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data |
| Partial Multi-View Clustering using Graph Regularized | nmf | |
| Recursive | nmf | : Efficient label tree learning for large multi-class problems |
| Robust Automatic Data Decomposition Using a Modified Sparse | nmf | |
| S | nmf | CA: Supervised NMF-Based Image Classification and Annotation |
| Sparse shift-invariant | nmf | |
| Spectral Shape Decomposition by Using a Constrained | nmf | Algorithm |
| Spectral-Spatial Joint Sparse | nmf | for Hyperspectral Unmixing |
| Subspace Clustering Constrained Sparse | nmf | for Hyperspectral Unmixing |
| Substance Dependence Constrained Sparse | nmf | for Hyperspectral Unmixing |
| Total variation constrained graph regularized | nmf | for medical image registration |
| Transform Invariant Video Fingerprinting by | nmf | |
| Unsupervised Identification of Targeted Spectra Applying Rank1- | nmf | and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery |
| Unsupervised Learning From Limited Available Data by ß- | nmf | and Dual Autoencoder |
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