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 701–725 of 823 papers

Title	Date	Tasks	Status	Hype
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction	Mar 10, 2015	Dictionary LearningImage Reconstruction	—Unverified	0
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model	Mar 7, 2015	Bayesian InferenceDenoising	—Unverified	0
On the Invariance of Dictionary Learning and Sparse Representation to Projecting Data to a Discriminative Space	Mar 6, 2015	Dictionary Learning	—Unverified	0
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization	Mar 2, 2015	Dictionary Learning	—Unverified	0
Supervised Dictionary Learning and Sparse Representation-A Review	Feb 20, 2015	DenoisingDictionary Learning	—Unverified	0
Towards zero-configuration condition monitoring based on dictionary learning	Feb 12, 2015	Dictionary Learning	—Unverified	0
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification	Feb 10, 2015	ClassificationDictionary Learning	—Unverified	0
Reflectance Hashing for Material Recognition	Feb 7, 2015	Dictionary LearningMaterial Recognition	—Unverified	0
Multimodal Task-Driven Dictionary Learning for Image Classification	Feb 4, 2015	Action RecognitionClassification	CodeCode Available	0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification	Feb 3, 2015	ClassificationDictionary Learning	—Unverified	0
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints	Feb 3, 2015	Dictionary LearningGeneral Classification	—Unverified	0
A Batchwise Monotone Algorithm for Dictionary Learning	Jan 31, 2015	Dictionary Learning	—Unverified	0
Per-Block-Convex Data Modeling by Accelerated Stochastic Approximation	Jan 29, 2015	ClusteringDictionary Learning	—Unverified	0
A Study on Clustering for Clustering Based Image De-Noising	Jan 6, 2015	ClusteringDictionary Learning	—Unverified	0
Unsupervised Feature Learning for Dense Correspondences across Scenes	Jan 4, 2015	Dictionary Learning	CodeCode Available	0
Deep Roto-Translation Scattering for Object Classification	Dec 30, 2014	ClassificationDictionary Learning	CodeCode Available	1
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data	Dec 25, 2014	Dictionary Learning	—Unverified	0
Generative Deep Deconvolutional Learning	Dec 18, 2014	Dictionary LearningGeneral Classification	—Unverified	0
Example Selection For Dictionary Learning	Dec 18, 2014	Dictionary Learning	—Unverified	0
Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning	Dec 16, 2014	Dictionary LearningGPU	—Unverified	0
Finding a sparse vector in a subspace: Linear sparsity using alternating directions	Dec 15, 2014	Dictionary Learning	CodeCode Available	0
Submodular Attribute Selection for Action Recognition in Video	Dec 1, 2014	Action RecognitionAttribute	—Unverified	0
On the relations of LFPs & Neural Spike Trains	Dec 1, 2014	ClusteringDictionary Learning	—Unverified	0
Projective dictionary pair learning for pattern classification	Dec 1, 2014	ClassificationDictionary Learning	—Unverified	0
Noisy Matrix Completion under Sparse Factor Models	Nov 2, 2014	ClusteringDictionary Learning	—Unverified	0

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