Hi Scott san,

Thank you for your comment and clarification.

In that sense, would JIRA be the better place to gather pieces of
information for discussion?

I have a few more ideas of enhancement for 2D input; local inhibition,
boosting,... ,etc.
(from software perspective)

Best Regards,

2013/8/14 Scott Purdy <[email protected]>

> You are correct that a separate scalar encoder for each pixel would not be
> a good method. You would want to create a vision-specific encoder which may
> do a number of preprocessing techniques to capture the semantics of the
> data.  You would also want to use topology in the SP (currently the default
> is global inhibition).  And I believe that hierarchy is somewhat important
> to vision problems, although may not be necessary for some problems (I
> don't really know).
>
> This is a pretty big task in general.  We have been talking about putting
> up details around some domains like vision and NLP to help guide research
> so we will follow up if we can get something like that together for vision.
>
>
> On Tue, Aug 13, 2013 at 8:21 AM, Hideaki Suzuki <[email protected]>wrote:
>
>> Hello people,
>>
>> Today, I've got one idea in my mind.  Do you have any opinion or interest
>> for this?
>>
>> Nupic uses scalar encoder to feed numbers to SP, IIUC.
>>
>> If we want to feed an image to SP, each pixel has an integer value and
>> the number of pixels are large.  It sounds not so easy to me that we
>> convert
>> million pixel values through scalar encoder and feed them to SP.
>>
>> Can dithering work as the encoder?  I mean this.
>> http://en.wikipedia.org/wiki/Dither
>>
>> Our brain recognizes a black & white binary image as if it is a grayscale
>> image
>> after dithering.  Does our retina convey the intensity of light in a
>> similar way of
>> dithering...?
>>
>> # I was a bit away from ML due to a business trip.  I hope I can be more
>> active now. :)
>>
>> Best Regards,
>>     Hideaki Suzuki.
>>
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>>
>
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