Loading...
report
Deliverable 3.1: Report on Learning Structured Sparse Models
2011
The aim of this work package (WP) is to explore approaches to learn structured sparse models, that is sparse models where the sparsity assumption seems not to be sufficient, or when there is hope to exploit some additional knowledge together with the sparsity hypothesis. The concept of structured sparsity can denote in fact various types of structure, which are strongly different in nature, yet related and interacting.
Type
report
Authors
Publication date
2011
Note
Deliverable 3.1 of the Sparse Models, Algorithms and Learning for Large-Scale Data (SMALL) project founded by the EU FP7 FET-Open program.
EPFL units
Available on Infoscience
June 18, 2011
Use this identifier to reference this record