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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 301–325 of 823 papers

TitleStatusHype
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Estimating the distribution of Galaxy Morphologies on a continuous space—0
Discriminatively Trained Sparse Code Gradients for Contour Detection—0
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification—0
Evolving Dictionary Representation for Few-shot Class-incremental Learning—0
Exact Sparse Orthogonal Dictionary Learning—0
Discriminative Localized Sparse Representations for Breast Cancer Screening—0
Explainable Trajectory Representation through Dictionary Learning—0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition—0
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution—0
Exploring the Limitations of Structured Orthogonal Dictionary Learning—0
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations—0
A Study on Clustering for Clustering Based Image De-Noising—0
Extractive Summarization by Maximizing Semantic Volume—0
Compressed Dictionary Learning—0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
Fast and robust tensor decomposition with applications to dictionary learning—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Fast Convolutional Dictionary Learning off the Grid—0
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data—0
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction—0
Fast Rotational Sparse Coding—0
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