Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 234,992,313 papers from all fields of science
Search
Sign In
Create Free Account
Structured sparsity regularization
Structured sparsity regularization is a class of methods, and an area of research in statistical learning theory, that extend and generalize sparsity…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
26 relations
Basis pursuit
Compressed sensing
Convex analysis
Convex function
Expand
Broader (2)
Convex optimization
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
A Structured Dictionary Learning Method for Multi-scale Sparse Representation
Wang Jiawen
,
Z. Hongbin
2013
Corpus ID: 1743841
In this paper, we address the problem of learning multi-scale sparse representations of natural images using structured…
Expand