To be more direct, what's the specific relevance of bringing up the number of 2-faces that an n-simplex has?
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To be more direct, what's the specific relevance of bringing up the number of 2-faces that an n-simplex has?
(n+1)!/((k+1)!*(n-k)!) where n=768 and k=2
Or about 75.5 million triangular faces. Which explains a lot. Thanks for that.
You are going to have to roll your own.
One trick you can use is that most convex hull algorithms chase O(nlg(n)). That lg(n) implies a branching step which lowers efficiency on GPUs. Your coefficients in high dimensions likely mean an O(n^2) branchless algorithm could run faster on a GPU.
Cull points aggressively too, for what little that is worth in high dimensions.
I found https://www.sciencedirect.com/science/article/abs/pii/S01678... which looks like it could be a starting point.
The real problem is that in dimensions that high, the point set probably already is the hull and all this is a zero signal gain operation.
Well, if I have 10,000 samples of a 768-dimension volume, most of those points will probably be inside the volume, and not per se a vertex of the hull.
I’m very comfortable rolling my own solution, so thank you for pointing me to Jarvis’ algorithm!
Are there more appropriate algorithms for finding convex hulls where dimensions are ~768? Or any parallelized / GPU-optimized options that I should look into?
I've looked into getting it worked into bags from Montrose Rope and Sail in Scotland when I worked in offshore industrial environments, but they don't have the equipment to do the "vinyl welding" necessary so you'd have to buy the bag without zippers and then find someone else who could do that welding.
As someone who has a lot of tinkering and research underway on a big idea, this motivates me to scrap and scrounge to get the demo party together.
Spending 8k-ish to build a product demo for my friends rich uncle is too uphill for me to risk. But for this, I mean fuck yeah.
That’s something I could potentially fund. No equity, just pro-bono / repay if it works out. Feel free to reach out and chat if it’s a dream you believe in.
But $250k from this might go a lot further.
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Does anyone know how they get this data?
So an extension will seem benign when it initially gets checked by Google as part of becoming part of its submission to the Chrome Store. Then, later, the external “3rd party” script that is hosted remotely will get replaced with a different, malicious script. The malicious extension carries on stealing cookies, credentials, and fingerprints until someone reverse engineers it and reports it to Google.
Google will not always recognize the issue immediately because the 3rd-party malicious code is not strictly “part of” the extension so there’s a bit of a song and dance while the person who reversed it convinces Googles reviewers that “yes, this really is actually malicious, you need to analyze the third party code that loads later” and then Google eventually takes it down after a semi-involved back-and-forth where extensive documentation and video walk-throughs are provided by the exasperated white-hat Good Samaritan.