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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 101–150 of 823 papers

TitleStatusHype
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition—0
Boosting Adversarial Robustness and Generalization with Structural Prior—0
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images—0
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization—0
Analysis Co-Sparse Coding for Energy Disaggregation—0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances—0
A Tree-based Dictionary Learning Framework—0
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms—0
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning—0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning—0
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization—0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks—0
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data—0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—0
Clustering Inductive Biases with Unrolled Networks—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity—0
Community-Level Anomaly Detection for Anti-Money Laundering—0
Complete Dictionary Learning via ^4-Norm Maximization over the Orthogonal Group—0
Atom dimension adaptation for infinite set dictionary learning—0
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method—0
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction—0
A multi-class structured dictionary learning method using discriminant atom selection—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Amora: Black-box Adversarial Morphing Attack—0
A Dictionary Learning Approach for Factorial Gaussian Models—0
A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
A Study on Clustering for Clustering Based Image De-Noising—0
A Model for Combinatorial Dictionary Learning and Inference—0
Astronomical Image Denoising Using Dictionary Learning—0
A Deep Generative Deconvolutional Image Model—0
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors—0
Associative Memory using Dictionary Learning and Expander Decoding—0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning—0
Learning Semidefinite Regularizers—0
Assisted Dictionary Learning for fMRI Data Analysis—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
On Convex Duality in Linear Inverse Problems—0
Convolutional Dictionary Learning: A Comparative Review and New Algorithms—0
Convolutional Dictionary Learning Based Hybrid-Field Channel Estimation for XL-RIS-Aided Massive MIMO Systems—0
A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images—0
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation—0
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