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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
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization—0
Active Dictionary Learning in Sparse Representation Based Classification—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
使用字典學習法於強健性語音辨識 (The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]—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 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
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
Deep Dictionary Learning with An Intra-class Constraint—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution—0
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories—0
Bayesian sparsity and class sparsity priors for dictionary learning and coding—0
ANALYSIS OF CALIBRATED SEA CLUTTER AND BOAT REFLECTIVITY DATA AT C- AND X-BAND IN SOUTH AFRICAN COASTAL WATERS—0
A fast patch-dictionary method for whole image recovery—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI—0
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising—0
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Decentralized Dynamic Discriminative Dictionary Learning—0
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning—0
Analysis Dictionary Learning: An Efficient and Discriminative Solution—0
A Fast Dictionary Learning Method for Coupled Feature Space Learning—0
Active Deep Learning for Classification of Hyperspectral Images—0
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