Hello everyone, This is my first time writing to the mailing list, so nice to meet you
I'm trying to solve a problem of content analysis the following way: 1) Break image into object 2) Ask user to categorize objects 3) Learn categories for those objects and use this knowledge for future inference of new visual input. The biggest problem I'm facing at the moment is to make sure that object is remembered in invariant state. Once I got my image through OpenCV, I can fix the size of the object, but not the rotation, so in my case I need HTM to remember rotation invariant representation of the object. HTM should also know that this is the same object. So my problem at the moment is that I don't think I quite understand what the structure of HTM should be to allow for this. Scale and rotation would be even better. If someone has any thoughts on that - I'd really appreciate it. _______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
