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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 576–600 of 823 papers

TitleStatusHype
Dictionary Learning Strategies for Compressed Fiber Sensing Using a Probabilistic Sparse Model—0
Assisted Dictionary Learning for fMRI Data Analysis—0
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints—0
Rain Removal via Shrinkage-Based Sparse Coding and Learned Rain Dictionary—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
Structure-Aware Classification using Supervised Dictionary Learning—0
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)—0
Noisy Inductive Matrix Completion Under Sparse Factor Models—0
Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison—0
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters—0
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding—0
A Comparative Study for the Nuclear Norms Minimization Methods—0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Analyzing Linear Dynamical Systems: From Modeling to Coding and LearningCode0
Multi-modal dictionary learning for image separation with application in art investigation—0
Probabilistic Forecasting and Simulation of Electricity Markets via Online Dictionary Learning—0
On the uniqueness and stability of dictionaries for sparse representation of noisy signals—0
The Learning and Prediction of Application-level Traffic Data in Cellular Networks—0
Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition—0
Dictionary Learning for Robotic Grasp Recognition and Detection—0
Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition—0
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—0
Sample-Specific SVM Learning for Person Re-Identification—0
Sparse Coding and Dictionary Learning With Linear Dynamical Systems—0
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