3 ms·

Because fewer PhD are minted by "Improved on SotA ceiling detection rates by 50%."

• sanxiyn 6y ago
  Maybe not PhD, but as a research topic, I think doing this well is an interesting task. I learned that ceilings are not featureless. (I know, it's a kind of ridiculous to say I "learned" this, since I could have learned this from, oh well, looking at my ceiling just now, but it really was a surprise when I encountered this in machine learning data context.) Ceilings often have lightings! Lightings (either on and off) vary between geography and culture! (They do! Extreme variations!) Lightings, if on, will cause flares! We just sampled from actual distribution (privacy policy included we can monitor connection for anti-abuse and we can use data for research and development of anti-abuse), but dataset collected with care will be valuable. I am sure actually doing this will reveal other considerations, and even just with points I mentioned, it should be good enough for a paper, if not for PhD.
  • ethbr0 6y ago
    That sounds like the problem in a nutshell. "X is simple, so just gin me up a data set of it." (Four months later) "X is not simple, in all these ways..." Which is another way of saying that discovery and communication with SMEs is an important side skill in project success.