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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 176–200 of 823 papers

TitleStatusHype
Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approach—0
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning—0
Spiking sampling network for image sparse representation and dynamic vision sensor data compression—0
Dynamic Sensor Placement Based on Sampling Theory for Graph Signals—0
Decentralized Complete Dictionary Learning via ^4-Norm Maximization—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods—0
A Riemannian ADMMCode0
Simple Alternating Minimization Provably Solves Complete Dictionary Learning—0
Geometric Sparse Coding in Wasserstein Space—0
Dictionary Learning for the Almost-Linear Sparsity RegimeCode0
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration—0
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning—0
Unsupervised Opinion Summarization Using Approximate Geodesics—0
Unitary Approximate Message Passing for Matrix Factorization—0
Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada—0
Learning Sparsity-Promoting Regularizers using Bilevel Optimization—0
Learning differentiable solvers for systems with hard constraints—0
Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition—0
Deep Dictionary Learning with An Intra-class Constraint—0
Recent Results of Energy Disaggregation with Behind-the-Meter Solar Generation—0
Supervised Dictionary Learning with Auxiliary CovariatesCode0
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural NetworksCode0
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings—0
Dictionary Learning with Accumulator Neurons—0
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