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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 276–300 of 823 papers

TitleStatusHype
Domain Transfer Multi-Instance Dictionary Learning—0
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals—0
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices—0
Approximate Guarantees for Dictionary Learning—0
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning—0
Dynamic Sensor Placement Based on Sampling Theory for Graph Signals—0
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern—0
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning—0
A Simple Sparse Denoising Layer for Robust Deep Learning—0
Convergence of alternating minimisation algorithms for dictionary learning—0
Alternating minimization for dictionary learning: Local Convergence Guarantees—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems—0
Efficient Dictionary Learning via Very Sparse Random Projections—0
Efficient Dictionary Learning with Sparseness-Enforcing Projections—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—0
Efficient Matrix Factorization Via Householder Reflections—0
Efficient Multi-Domain Dictionary Learning with GANs—0
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The _0 Method—0
Compressed Online Dictionary Learning for Fast fMRI Decomposition—0
_1-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous Update—0
Energy Disaggregation via Deep Temporal Dictionary Learning—0
Discriminatively Trained Sparse Code Gradients for Contour Detection—0
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