Re: [Scikit-learn-general] Convolutive NMF

2015-04-09 Thread Eraldo Pomponi
Thanks a lot Andreas On Thu, Apr 9, 2015 at 7:22 PM, Andreas Mueller wrote: > For vision: > http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf > http://people.idsia.ch/~ciresan/data/icann2011.pdf > > > On 04/09/2015 12:56 PM, Eraldo Pomponi wrote: > > Dear Andy, > > > > On Thu, Apr 9, 2015

Re: [Scikit-learn-general] Convolutive NMF

2015-04-09 Thread Andreas Mueller
For vision: http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf http://people.idsia.ch/~ciresan/data/icann2011.pdf On 04/09/2015 12:56 PM, Eraldo Pomponi wrote: Dear Andy, On Thu, Apr 9, 2015 at 2:56 PM, Andy > wrote: Hi Dan. Scikit-learn focuses on "fl

Re: [Scikit-learn-general] Convolutive NMF

2015-04-09 Thread Eraldo Pomponi
Dear Andy, On Thu, Apr 9, 2015 at 2:56 PM, Andy wrote: > Hi Dan. > > Scikit-learn focuses on "flat" signals and algorithms and we don't > usually add algorithms on time-series or nd-data, > as that would significantly widen the scope and complicate API. Maybe we > should add this to the FAQ. >

Re: [Scikit-learn-general] Convolutive NMF

2015-04-09 Thread Dan Stowell
-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 On 09/04/15 13:56, Andy wrote: > Hi Dan. > > Scikit-learn focuses on "flat" signals and algorithms and we don't > usually add algorithms on time-series or nd-data, as that would > significantly widen the scope and complicate API. Maybe we should > ad

Re: [Scikit-learn-general] Convolutive NMF

2015-04-09 Thread Andy
Hi Dan. Scikit-learn focuses on "flat" signals and algorithms and we don't usually add algorithms on time-series or nd-data, as that would significantly widen the scope and complicate API. Maybe we should add this to the FAQ. FWIW I didn't have a very good experience when working with convolut

[Scikit-learn-general] Convolutive NMF

2015-04-09 Thread Dan Stowell
Hi all, Does anyone here have any experience/tips for _convolutive_ NMF in scikit-learn (or in numpy more generally)? scikit-learn has NMF decomposition, hooray, but nothing for the convolutive version. "Convolutive" here means that the bases are not just 1-dimensional but 2-dimensional: the basi