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SPAMS
About
For any question related to the use or development of SPAMS, you can contact us at "spams.dev'AT'inria.fr" (replace 'AT' by @).
What is SPAMS?
SPAMS (SPArse Modeling Software) is an optimization toolbox for solving various sparse estimation problems.- Dictionary learning and matrix factorization (NMF, sparse PCA, ...)
- Solving sparse decomposition problems with LARS, coordinate descent, OMP, SOMP, proximal methods
- Solving structured sparse decomposition problems (l1/l2, l1/linf, sparse group lasso, tree-structured regularization, structured sparsity with overlapping groups,...).
It is coded in C++ with a Matlab interface. Interfaces for R and Python have been developed by Jean-Paul Chieze, and archetypal analysis was written by Yuansi Chen. Release of version 2.6/2.6.1 and porting to R-3.x and Python3.x was done by Ghislain Durif (Inria). Version 2.6.2 (Python only) modifications were proposed by François Rheault and Samuel Saint-Jean.
The original porting to Python3.x is based on this patch and on the work of John Kirkham available here.
Funding
This work was supported in part by the SIERRA and VIDEOWORLD ERC projects, and by the MACARON ANR project.License
Version 2.1 and later are open-source under licence GPLv3. For other licenses, please contact the authors.A monograph about sparse estimation
We encourage the users of SPAMS to read the following monograph, which contains numerous applications of dictionary learning, an introduction to sparse modeling, and many practical advices.
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Last modification:
2020-09-01 17:18:53.576112140 +0200