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 276–300 of 823 papers

TitleStatusHype
Group Invariant Dictionary Learning—0
Data-driven geophysics: from dictionary learning to deep learning—0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence—0
Efficient and Parallel Separable Dictionary LearningCode0
Novel min-max reformulations of Linear Inverse Problems—0
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data—0
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismCode0
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary LearningCode0
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning—0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
On the Preservation of Spatio-temporal Information in Machine Learning Applications—0
Recovery and Generalization in Over-Realized Dictionary Learning—0
Supervised Learning of Sparsity-Promoting Regularizers for Denoising—0
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited DataCode1
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification—0
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction—0
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning—0
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering—0
A Model-driven Deep Neural Network for Single Image Rain RemovalCode1
Understanding l4-based Dictionary Learning: Interpretation, Stability, and RobustnessCode0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks—0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Encoder blind combinatorial compressed sensing—0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images—0
Show:102550
← PrevPage 12 of 33Next →

No leaderboard results yet.