SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 823 papers

TitleStatusHype
LASERS: LAtent Space Encoding for Representations with Sparsity for Generative Modeling—0
Latent Dictionary Learning for Sparse Representation based Classification—0
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction—0
Learning a collaborative multiscale dictionary based on robust empirical mode decomposition—0
Learning a Common Dictionary for CSI Feedback in FDD Massive MU-MIMO-OFDM Systems—0
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems—0
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization—0
Learning a Pedestrian Social Behavior Dictionary—0
Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans—0
Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing—0
Learning brain regions via large-scale online structured sparse dictionary learning—0
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition—0
Learning computationally efficient dictionaries and their implementation as fast transforms—0
Learning Deep Analysis Dictionaries -- Part II: Convolutional Dictionaries—0
Learning differentiable solvers for systems with hard constraints—0
Learning Discriminative ab-Divergences for Positive Definite Matrices—0
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)—0
Learning Discriminative Latent Attributes for Zero-Shot Classification—0
Learning efficient structured dictionary for image classification—0
Learning _1-based analysis and synthesis sparsity priors using bi-level optimization—0
Learning Fast Sparsifying Transforms—0
Learning Hierarchical Sparse Representations using Iterative Dictionary Learning and Dimension Reduction—0
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space—0
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit—0
Learning Invariant Subspaces of Koopman Operators--Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance—0
Learning Invariant Subspaces of Koopman Operators--Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance—0
Learning joint intensity-depth sparse representations—0
Learning Light Field Reconstruction from a Single Coded Image—0
Learning Linear Dynamical Systems with High-Order Tensor Data for Skeleton based Action Recognition—0
Learning Log-Determinant Divergences for Positive Definite Matrices—0
Learning quadrangulated patches for 3D shape parameterization and completion—0
Learning Scalable Discriminative Dictionary with Sample Relatedness—0
Learning Simple Thresholded Features with Sparse Support Recovery—0
Learning Sparse Adversarial Dictionaries For Multi-Class Audio Classification—0
Learning Sparsity-Promoting Regularizers using Bilevel Optimization—0
Learning Stable Multilevel Dictionaries for Sparse Representations—0
Learning zeroth class dictionary for human action recognition—0
Level Set KSVD—0
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression—0
Linearization to Nonlinear Learning for Visual Tracking—0
Local identifiability of l_1-minimization dictionary learning: a sufficient and almost necessary condition—0
Local Information with Feedback Perturbation Suffices for Dictionary Learning in Neural Circuits—0
Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm—0
Localized Dictionary design for Geometrically Robust Sonar ATR—0
Local Patch Encoding-Based Method for Single Image Super-Resolution—0
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary—0
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning—0
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising—0
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning—0
Making sense of randomness: an approach for fast recovery of compressively sensed signals—0
Show:102550
← PrevPage 11 of 17Next →

No leaderboard results yet.