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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 451–500 of 823 papers

TitleStatusHype
On the uniqueness and stability of dictionaries for sparse representation of noisy signals—0
Optimal Regularization for a Data Source—0
Optimal Spectral Recovery of a Planted Vector in a Subspace—0
Optimization of Clustering for Clustering-based Image Denoising—0
Optimized Kernel-based Projection Space of Riemannian Manifolds—0
Optimizing Hard Thresholding for Sparse Model Discovery—0
Overcomplete Dictionary Learning with Jacobi Atom Updates—0
Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images—0
Per-Block-Convex Data Modeling by Accelerated Stochastic Approximation—0
Performance Limits of Dictionary Learning for Sparse Coding—0
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition—0
Personalized Age Progression with Aging Dictionary—0
Personalized Age Progression with Bi-level Aging Dictionary Learning—0
Personalized Dictionary Learning for Heterogeneous Datasets—0
Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries—0
PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers—0
Phase transitions and sample complexity in Bayes-optimal matrix factorization—0
Poisson noise reduction with non-local PCA—0
Prior-Less Compressible Structure From Motion—0
Probabilistic Forecasting and Simulation of Electricity Markets via Online Dictionary Learning—0
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)—0
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)—0
Projective dictionary pair learning for pattern classification—0
ProSper -- A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions—0
Provable Online Dictionary Learning and Sparse Coding—0
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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