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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 701–750 of 823 papers

TitleStatusHype
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis—0
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction—0
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model—0
On the Invariance of Dictionary Learning and Sparse Representation to Projecting Data to a Discriminative Space—0
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization—0
Supervised Dictionary Learning and Sparse Representation-A Review—0
Towards zero-configuration condition monitoring based on dictionary learning—0
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification—0
Reflectance Hashing for Material Recognition—0
Multimodal Task-Driven Dictionary Learning for Image ClassificationCode0
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
A Batchwise Monotone Algorithm for Dictionary Learning—0
Per-Block-Convex Data Modeling by Accelerated Stochastic Approximation—0
A Study on Clustering for Clustering Based Image De-Noising—0
Unsupervised Feature Learning for Dense Correspondences across ScenesCode0
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data—0
Example Selection For Dictionary Learning—0
Generative Deep Deconvolutional Learning—0
Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning—0
Finding a sparse vector in a subspace: Linear sparsity using alternating directionsCode0
Submodular Attribute Selection for Action Recognition in Video—0
Projective dictionary pair learning for pattern classification—0
On the relations of LFPs & Neural Spike Trains—0
Noisy Matrix Completion under Sparse Factor Models—0
Generalized Adaptive Dictionary Learning via Domain Shift Minimization—0
Generalized Conditional Gradient for Sparse Estimation—0
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling—0
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)—0
Active Dictionary Learning in Sparse Representation Based Classification—0
On the need for metrics in dictionary learning assessmentCode0
Kernel Coding: General Formulation and Special Cases—0
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences—0
_1-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous Update—0
Dependent Nonparametric Bayesian Group Dictionary Learning for online reconstruction of Dynamic MR images—0
A fast patch-dictionary method for whole image recovery—0
Sparse and spurious: dictionary learning with noise and outliers—0
Subspace metrics for multivariate dictionaries and application to EEGCode0
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method—0
Estimating the distribution of Galaxy Morphologies on a continuous space—0
A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module—0
Learning computationally efficient dictionaries and their implementation as fast transforms—0
Structured Dictionary Learning for Classification—0
Learning Scalable Discriminative Dictionary with Sample Relatedness—0
Latent Dictionary Learning for Sparse Representation based Classification—0
l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence—0
Semi-Supervised Coupled Dictionary Learning for Person Re-identification—0
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images—0
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising—0
Sparse Dictionary Learning for Edit Propagation of High-Resolution Images—0
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