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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 651–675 of 823 papers

TitleStatusHype
Active Dictionary Learning in Sparse Representation Based Classification—0
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data—0
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points—0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising—0
A Deep Generative Deconvolutional Image Model—0
A Dictionary Learning Approach for Factorial Gaussian Models—0
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity—0
A Fast Dictionary Learning Method for Coupled Feature Space Learning—0
A fast patch-dictionary method for whole image recovery—0
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization—0
A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module—0
A Generative Model for Deep Convolutional Learning—0
A Greedy Approach to _0, Based Convolutional Sparse Coding—0
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization—0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—0
Alignment Distances on Systems of Bags—0
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
Alternating minimization for dictionary learning: Local Convergence Guarantees—0
Alternating minimization for dictionary learning with random initialization—0
Alternative Learning Paradigms for Image Quality Transfer—0
Learning Semidefinite Regularizers—0
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors—0
A Model for Combinatorial Dictionary Learning and Inference—0
Amora: Black-box Adversarial Morphing Attack—0
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