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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 351–400 of 823 papers

TitleStatusHype
A Tree-based Dictionary Learning Framework—0
Supervised Learning Based Super-Resolution DoA Estimation Utilizing Antenna Array Extrapolation—0
RandNet: deep learning with compressed measurements of images—0
On Convex Duality in Linear Inverse Problems—0
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition—0
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition—0
ProSper -- A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions—0
Deep Non-Rigid Structure from Motion—0
Convolutional Dictionary Learning in Hierarchical Networks—0
Fast Convolutional Dictionary Learning off the Grid—0
Structured Dictionary Learning for Energy Disaggregation—0
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration—0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Dictionary Learning with BLOTLESS UpdateCode0
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning—0
Zero-Shot Image Classification Using Coupled Dictionary Embedding—0
Complete Dictionary Learning via ^4-Norm Maximization over the Orthogonal Group—0
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient DirectionCode0
Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation—0
Approximate Guarantees for Dictionary Learning—0
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier—0
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning—0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Sparse Dictionary Learning by Dynamical Neural Networks—0
Provable Online Dictionary Learning and Sparse Coding—0
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary LearningCode0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
A Fast Dictionary Learning Method for Coupled Feature Space Learning—0
Online Convex Matrix Factorization with Representative RegionsCode0
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited DataCode0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and AlgorithmsCode0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Non-negative representation based discriminative dictionary learning for face recognition—0
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning—0
Confident Kernel Sparse Coding and Dictionary Learning—0
Label Embedded Dictionary Learning for Image ClassificationCode0
Analysis Dictionary Learning: An Efficient and Discriminative Solution—0
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series—0
Deep Interpretable Non-Rigid Structure from MotionCode0
NOODL: Provable Online Dictionary Learning and Sparse Coding—0
Unique Sharp Local Minimum in _1-minimization Complete Dictionary Learning—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold—0
Dictionary learning approach to monitoring of wind turbine drivetrain bearings—0
TGAN: Deep Tensor Generative Adversarial Nets for Large Image GenerationCode0
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution—0
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images—0
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