| Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling | May 28, 2022 | Gaussian ProcessesTensor Decomposition | —Unverified | 0 | 0 |
| Rethinking Compressed Convolution Neural Network from a Statistical Perspective | Jan 1, 2021 | Tensor Decomposition | —Unverified | 0 | 0 |
| Revisiting Knowledge Base Embedding as Tensor Decomposition | Jan 1, 2018 | Link PredictionTensor Decomposition | —Unverified | 0 | 0 |
| Reweighted Low-Rank Tensor Decomposition based on t-SVD and its Applications in Video Denoising | Nov 18, 2016 | DenoisingTensor Decomposition | —Unverified | 0 | 0 |
| Riemannian Manifold Optimization for Discriminant Subspace Learning | Jan 20, 2021 | General Classificationimage-classification | —Unverified | 0 | 0 |
| RIS-Assisted Sensing: A Nested Tensor Decomposition-Based Approach | Dec 3, 2024 | Tensor Decomposition | —Unverified | 0 | 0 |
| Robust low-rank multilinear tensor approximation for a joint estimation of the multilinear rank and the loading matrices | Nov 14, 2018 | Tensor Decomposition | —Unverified | 0 | 0 |
| Robustly Learning Mixtures of k Arbitrary Gaussians | Dec 3, 2020 | ClusteringTensor Decomposition | —Unverified | 0 | 0 |
| Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy | May 10, 2020 | ClusteringFace Reconstruction | —Unverified | 0 | 0 |
| Robust Tensor Decomposition with Gross Corruption | Dec 1, 2014 | Tensor Decomposition | —Unverified | 0 | 0 |
