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https://issues.apache.org/jira/browse/MAHOUT-1567?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14014851#comment-14014851
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Ted Dunning commented on MAHOUT-1567:
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Mairal's method is one of the absolute standards for this algorithm and sparse
coding is an important algorithm.
Maciej,
Can you attempt to port to the new math DSL that Mahout is building? That will
be very instructive for the development of the DSL as well.
> Add online sparse dictionary learning (dimensionality reduction)
> ----------------------------------------------------------------
>
> Key: MAHOUT-1567
> URL: https://issues.apache.org/jira/browse/MAHOUT-1567
> Project: Mahout
> Issue Type: Improvement
> Components: Collaborative Filtering
> Reporter: Maciej Kula
>
> I have recently implemented a sparse online dictionary learning algorithm,
> with an emphasis on learning very high-dimensional and very sparse
> dictionaries. It is based on J. Mairal et al 'Online Dictionary Learning for
> Sparse Coding' (http://www.di.ens.fr/willow/pdfs/icml09.pdf). It's an online
> variant of low-rank matrix factorization, suitable for sparse binary matrices
> (such as implicit feedback matrices).
> I would be very happy to bring this up to the Mahout standard and contribute
> to the main codebase --- is this something you would in principle be
> interested in having?
> The code (as well as some examples) are here:
> https://github.com/maciejkula/dictionarylearning
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