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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 376–400 of 823 papers

TitleStatusHype
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration—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
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals—0
A Batchwise Monotone Algorithm for Dictionary Learning—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
Image Deraining via Self-supervised Reinforcement Learning—0
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis—0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis—0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning—0
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
Extractive Summarization by Maximizing Semantic Volume—0
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations—0
Exploring the Limitations of Structured Orthogonal Dictionary Learning—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
A Study on Clustering for Clustering Based Image De-Noising—0
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution—0
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals—0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Explainable Trajectory Representation through Dictionary Learning—0
Example Selection For Dictionary Learning—0
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