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Dictionary Learning

Dictionary Learning is an important problem in multiple areas, ranging from computational neuroscience, machine learning, to computer vision and image processing. The general goal is to find a good basis for given data. More formally, in the Dictionary Learning problem, also known as sparse coding, we are given samples of a random vector $y\in\mathbb{R}^n$, of the form $y=Ax$ where $A$ is some unknown matrix in $\mathbb{R}^{n×m}$, called dictionary, and $x$ is sampled from an unknown distribution over sparse vectors. The goal is to approximately recover the dictionary $A$.

Source: Polynomial-time tensor decompositions with sum-of-squares

Papers

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Showing 476–500 of 823 papers

TitleStatusHype
Quantitative MR Image Reconstruction using Parameter-Specific Dictionary Learning with Adaptive Dictionary-Size and Sparsity-Level Choice—0
Rain Removal via Shrinkage-Based Sparse Coding and Learned Rain Dictionary—0
Rain Streak Removal Using Layer Priors—0
RandNet: deep learning with compressed measurements of images—0
Recent Results of Energy Disaggregation with Behind-the-Meter Solar Generation—0
Recognition of Geometrical Shapes by Dictionary Learning—0
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning—0
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling—0
Recovery and Generalization in Over-Realized Dictionary Learning—0
Recovery under Side Constraints—0
Reflectance Hashing for Material Recognition—0
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction—0
Regret Bounds for Lifelong Learning—0
Regularized Residual Quantization: a multi-layer sparse dictionary learning approach—0
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning—0
Removing Rain From a Single Image via Discriminative Sparse Coding—0
Representation Learning and Recovery in the ReLU Model—0
Reprogramming Language Models for Molecular Representation Learning—0
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning—0
Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Framework—0
Riemannian Coding and Dictionary Learning: Kernels to the Rescue—0
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices—0
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold—0
Riemannian stochastic optimization methods avoid strict saddle points—0
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information—0
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