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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
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising—0
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation—0
Deep Transform and Metric Learning Networks—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI—0
Bayesian sparsity and class sparsity priors for dictionary learning and coding—0
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Deep Dictionary Learning with An Intra-class Constraint—0
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters—0
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deeply-Sparse Signal rePresentations (DS^2P)—0
Convergence of alternating minimisation algorithms for dictionary learning—0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo—0
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?—0
Deep Non-Rigid Structure from Motion—0
Blind Denoising Autoencoder—0
A Simple Sparse Denoising Layer for Robust Deep Learning—0
A Comparative Study for the Nuclear Norms Minimization Methods—0
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