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 601–625 of 823 papers

TitleStatusHype
The Generalization Error of Dictionary Learning with Moreau Envelopes—0
The Learning and Prediction of Application-level Traffic Data in Cellular Networks—0
Encoder blind combinatorial compressed sensing—0
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling—0
Time Series Classification to Improve Poultry Welfare—0
Towards Learning Sparsely Used Dictionaries with Arbitrary Supports—0
Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control—0
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions—0
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models—0
Towards zero-configuration condition monitoring based on dictionary learning—0
Trainlets: Dictionary Learning in High Dimensions—0
Travel time tomography with adaptive dictionaries—0
Une véritable approche _0 pour l'apprentissage de dictionnaire—0
Unidentified Floating Object detection in maritime environment using dictionary learning—0
Unique Sharp Local Minimum in _1-minimization Complete Dictionary Learning—0
Unitary Approximate Message Passing for Matrix Factorization—0
Unmixing Noise from Hawkes Process to Model Learned Physiological Events—0
Unraveling the Localized Latents: Learning Stratified Manifold Structures in LLM Embedding Space with Sparse Mixture-of-Experts—0
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI—0
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation—0
Unsupervised Complex Semi-Binary Matrix Factorization for Activation Sequence Recovery of Quasi-Stationary Sources—0
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification—0
Unsupervised Dictionary Learning for Anomaly Detection—0
Unsupervised domain adaption dictionary learning for visual recognition—0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning—0
Show:102550
← PrevPage 25 of 33Next →

No leaderboard results yet.