What has happened in the last 2 years and with the muscle of Google behind this trend? NADA!

]]>First, assigning each possible value of a cell, v, a numerical value from 1 to n total values.

Then, assign each cell a numerical value, p.

Now solve for the values v and p in in this equation: (v-1)n^(p-1)+1 = c = cycle at which value makes first singular appearance.

Sum all the results, and then subtract n from the result. Now you have the label of that particular image, which you can now use to tell a program such as the one described above when to stop cycling, and it would land on that image. This however would be cool only because you actually would get to see the computer stopped on an image of yourself, but of course it would only be the exact same image you already had to solve for c in the first place.

It seems interesting, because the author has an understanding of statistics / manifolds / kolmogorov complexity.

Maybe you can look at the papers it cites as well. Or just search in google scholar for “statistics of natural images”. That way you will find more machine learning and neuroscience papers, like this one:

http://www.cns.nyu.edu/~tony/vns/readings/simoncelli-olshausen-2001.pdf

Greetings,

Hugo

https://researchspace.auckland.ac.nz/bitstream/handle/2292/3851/344cris.pdf?sequence=1

Might be an interesting reading as a follow up of this blog post.

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