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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 676–700 of 823 papers

TitleStatusHype
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
Robust Kronecker Component Analysis—0
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering—0
Robust Photometric Stereo Using Learned Image and Gradient Dictionaries—0
Robust Photometric Stereo via Dictionary Learning—0
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification—0
Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization—0
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification—0
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning—0
Deep Interpretable Non-Rigid Structure from MotionCode0
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video DenoisingCode0
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled DictionariesCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Recognizing Partial Biometric PatternsCode0
Deep Network Classification by Scattering and Homotopy Dictionary LearningCode0
TGAN: Deep Tensor Generative Adversarial Nets for Large Image GenerationCode0
Fault Handling in Large Water Networks with Online Dictionary LearningCode0
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary LearningCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Learning Dictionaries from Physical-Based Interpolation for Water Network Leak LocalizationCode0
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