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Sparse dictionary learning

Sparse dictionary learning is a representation learning method which aims at finding a sparse representation of the input data (also known as sparse… 
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Related topics

Related topics

27 relations
Audio signal processingAutoencoderBasis (linear algebra)Conjugate gradient method

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
Sparse dictionary learning (SDL) has become a popular method for adaptively identifying parsimonious representations of a dataset… 
2017
2017
Multivariate Statistics – non-negative matrix factorisation and sparse dictionary learning
  • 2017
  • Corpus ID: 53573613
With PCA we get the best low-rank approximation of X, where best is measured in a Euclidean metric. PCA learns both the score… 
2016
2016
The Image Sparse Denoising of Redundant Dictionary Based on Filtering Guidance
This paper conducts a research on information loss of local feature existing in the image denoising process and puts forward the… 
2016
2016
Regression-Based Sparse Coding for Facial Point Detection
Facial point detection in real-world conditions presents large variations in shapes and occlusions due to differences in poses… 
2014
2014
Low-Rank and Sparse Dictionary Learning
Learning an informative dictionary is a critical challenge in sparse representation and low-rank modeling. The quality of… 
2014
2014
Sparse dictionary learning from 1-BIT data
This work examines a sparse dictionary learning task - that of fitting a collection of data points, arranged as columns of a… 
2012
2012
Human Action Recognition Based on Discriminative Sparse Coding Video Representation
The bag-of-words(BoW) model usually causes large errors and weak discrimination in video representation in video action… 
2009
2009
A Data-Driven fMRI Analysis using K-SVD Sparse Dictionary Learning
  • J. Ye
  • 2009
  • Corpus ID: 14259342
Introduction: Statistical parametric mapping (SPM) is widely used for the statistical analysis of brain activity with fMRI… 
2008
2008
Separation of stereo speech signals based on a sparse dictionary algorithm
We address the problem of source separation in echoic and anechoic environments, with a new algorithm which adaptively learns a… 
2003
2003
Exploratory Sparse Models for Face Classification
In this paper, a class of sparse regularization methods are considered for developing and exploring sparse classifiers for face…