422 TAing.Image Understanding II.Sensorimotor Computation.- Machine Learning.
April 24th, 2008
This paper is rated NP HARD by the Mathematical Prudes Association of America.
Rongorongo
The Tale of Genji
Moby Dick
"...what are three things you don't often seen referenced in a Machine Learning paper?"
"Correct for 200mg of caffeine!"
The Tale of Genji
Moby Dick
"...what are three things you don't often seen referenced in a Machine Learning paper?"
"Correct for 200mg of caffeine!"
With 23 minutes to spare, I am done.
A week ago I was dreading this writeup, because I had nothing. Even this morning I was thinking I only had the bare minimum of a real project. As I wrote it, I came to realize it was actually quite interesting. (Though that might just be the Stockholm Syndrome talking.) I still have no idea what kind of marks I'll get, but I'm happy with what I did. I might even have to continue working on this for fun.
I've ended up rather proud of all three of my projects. Machine learning because it went from absolute crap to a simply gorgeous and endearingly quirky paper with real results in just 5 days. Image because the system really truly works and will probably get used in the competition this summer. Even sensorimotor, which I really had been thinking of as nothing more than hardware lols -- I'm really glad I forced myself to go back into the lab yesterday and do another 16 data collection runs, and profile the slow pan irregularities. The paper really benefited from it.
I can sleep again! I can read fiction! I can... start worrying about finding a thesis. :)
A week ago I was dreading this writeup, because I had nothing. Even this morning I was thinking I only had the bare minimum of a real project. As I wrote it, I came to realize it was actually quite interesting. (Though that might just be the Stockholm Syndrome talking.) I still have no idea what kind of marks I'll get, but I'm happy with what I did. I might even have to continue working on this for fun.
I've ended up rather proud of all three of my projects. Machine learning because it went from absolute crap to a simply gorgeous and endearingly quirky paper with real results in just 5 days. Image because the system really truly works and will probably get used in the competition this summer. Even sensorimotor, which I really had been thinking of as nothing more than hardware lols -- I'm really glad I forced myself to go back into the lab yesterday and do another 16 data collection runs, and profile the slow pan irregularities. The paper really benefited from it.
I can sleep again! I can read fiction! I can... start worrying about finding a thesis. :)