Hi Olivier,
I don't know that work, neither the authors, so I will have a look at it.
As far as I understand from the abstract, observations should have a
low-dimensional structure in order this technique to be applicable, which
is not necessarily the case in practice.
I will read the paper anyway ;)
Thanks for pointing that out!
Virgile
On Wed, Dec 21, 2011 at 9:33 AM, Olivier Grisel <[email protected]>wrote:
> Hi,
>
> Thanks Virgile for the new outliers detection exaamples that have been
> merged yesterday in master. I was wondering, are you aware of the
> following paper?
>
> Structural Similarity and Distance in Learning
> http://arxiv.org/abs/1110.5847
>
> I looks quite interesting and should not be restricted to outlier
> detection but also as a generic unsupervised feature learning
> transformer.
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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