That's part of it. Frankly, I am not entirely sure that NuPIC is fast enough to work well with images in its current implementation (although I'd love to hear educated opinions on this one). 2048 columns doesn't seem enough and scaling is exponential.
Has anyone here actually worked with nupic.vision? ( https://github.com/numenta/nupic.vision) On Wed, Feb 24, 2016 at 12:34 PM, cogmission (David Ray) < [email protected]> wrote: > From what I understand, we have to wait for "Hierarchy" to be added back > into the algorithm before significant work can be done with HTMs for vision? > > On Tue, Feb 23, 2016 at 9:39 PM, Sergey Alexashenko < > [email protected]> wrote: > >> If you look at the citations of the paper you just linked, it cites this >> <http://www-edlab.cs.umass.edu/cs691jj/hawkins-and-george-2006.pdf> 2006 >> report. Back then, Numenta used a very different algorithm from what it >> uses now, even though the name remains the same. I don't know how well the >> old algorithm worked in image recognition, just be aware that it is not the >> same as NuPIC, the current implementation of HTM. >> >> On Tue, Feb 23, 2016 at 10:26 PM, Николай Климов <[email protected]> >> wrote: >> >>> Hello guys. I'm new to HTM and I have a question about object >>> recognition in images. Every source I've read about HTM said it's a bad >>> idea because it's not a temporary data. But I've just read master thesis by >>> Vincenzo Lomonaco ( >>> http://amslaurea.unibo.it/9095/1/Vincenzo_Lomonaco_tesi.pdf ) where in >>> some tests HTM beats CNN. Why it works? I ask this because I want to try >>> implement face recognition task on HTM and wondering is it a good idea? >>> >>> >> > > > -- > *With kind regards,* > > David Ray > Java Solutions Architect > > *Cortical.io <http://cortical.io/>* > Sponsor of: HTM.java <https://github.com/numenta/htm.java> > > [email protected] > http://cortical.io >
