apu

16 ms·

91.
by apu 12y ago
Well said. More generally, it is often difficult to disentangle someone's motives & beliefs (and therefore the things they say) from their occupation. After all, the more deeply you believe in something, the more likely it is you w
92.
Michael Lewis’s flawed new book(blogs.reuters.com)
4 points by apu 13y ago|2 comments
93.
Rumor Monger(c2.com)
7 points by apu 13y ago|0 comments
94.
by apu 13y ago
Yes, capacity is intimately tied to VC dimension; in particular, VC dimension is one way to measure capacity. See the Wikipedia article for more information: http://en.wikipedia.org/wiki/Vc_dimension I'm not an ex
95.
by apu 13y ago
Actually, 25% is the right way to judge this improvement. For example, let's say performance was currently at 99.9% and you improve it to 99.99%. That's not a 0.09% improvement (99.99 - 99.9), but rather a ten-fold improvement (.0
96.
by apu 13y ago
The LFW test is verification: given two faces you've never seen before, tell whether they're the same person or not. That's a much weaker test than saying "who is this?" The LFW benchmark protocol is described in th
97.
by apu 13y ago
Actually, that's only one of the contributions, and I'm not so sure it's the "key innovation". Every other recent face recognition method also tries to do some kind of alignment to make faces more similar in pose&#x
98.
by apu 13y ago
Having worked on this problem before (the comparison to human performance they cite is from my work) and seeing all the recent successes of deep learning, I'd bet that a lot of the gain here comes from what deep learning generally prov
99.
by apu 13y ago
The critical piece I'm always missing is how to center a div vertically if you don't know its height?
100.
by apu 13y ago
I think for many of these studies they have to go even further because it turns out that people can remember the target images and "look" at them (in their mind's eye) for longer than the allotted time, even if sandwiched bet
101.
by apu 13y ago
Although I don't have first hand experience with the code, a former labmate of mine (I'm at the Univ. of Washington, and he's now at Google) is one of the leading experts on this area of research, and his VisualSFM [1] tool i
102.
by apu 13y ago
The book Daily Rituals , from which most of these seem to be excerpted, is a great read into the daily routines of lots of "creative" people of all stripes -- writers, artists, scientists, etc. http://www.amazon.com&#x
103.
by apu 13y ago
There was a related paper on using the eyes as a means of capturing a full environment map which could be used directly for relighting a scene (e.g., for 3d rendered scenes or for compositing digital objects into scenes): http://
104.
by apu 13y ago
Hmm, only seeing a "default parallels" page: http://i.imgur.com/bUzBKn0.png (midnight PST)
105.
by apu 13y ago
For an example of this, look at the sibling comment by pak (made after yours) =) https://news.ycombinator.com/item?id=6844169
106.
by apu 13y ago
FWIW, many vision researchers believe that the resemblance of the first convolutional layer to Gabor filters is perhaps more a case of selection bias than anything else. The argument goes that were they not the output of the first layer,
107.
by apu 13y ago
For those wanting to get started (or further) in machine learning, I highly recommend the article, "A Few Useful Things to Know About Machine Learning," by Pedro Domingos (a well respected ML researcher): http://homes.c
108.
by apu 13y ago
This is not going to work (at least currently). Features for faces are not yet powerful enough to get you to a reasonable set of matches without also missing the right face in a large percentage of cases. Variations due to lighting, pose, a
109.
by apu 13y ago
Yes, as the story points out, searching the entire database for a face probably won't work, but if you can prefilter based on other criteria such as location, employer, etc., it might become more feasible.
110.
by apu 13y ago
It would, perhaps, but the problem is deciding between millions (or billions) of people -- if you recognize people by doing pair-wise comparisons, then even small error rates can quickly add up.
111.
by apu 13y ago
Haar wavelets are most useful for detecting faces (drawing a rectangle around the entire face). They are not very good for locating landmarks on the face. Also, they tend to be much more sensitive to the orientation of the face than other
112.
by apu 13y ago
Note that these are both approaches to do "fine-scaled visual categorization" (FGVC), which assumes you already know you're looking at a dog/bird and want to identify which species it is. This is increasingly becoming an
113.
by apu 13y ago
The sample images are of two types: images which are mostly of the subject (cat or dog), and images which have a cat or dog in them, but are not necessarily focused on them. In computer vision, these two types of images are traditionally ha
114.
by apu 13y ago
Ah sorry, I shouldn't have said "obviously" -- that was a bit rude of me.
115.
by apu 13y ago
One blush ;-) [Moto7451 obviously meant rogue unit]
116.
by apu 13y ago
I'm surprised to notice (perhaps it's always been there) that the YC app asks for facebook and twitter ids. Are these just additional contact mechanisms, or used for anything more?
117.
by apu 13y ago
Or you could become Paul Graham =)
118.
Musical Identity - How Music Taste Predicts Movie Taste(musicalidentity.echonest.com)
1 points by apu 13y ago|0 comments
119.
by apu 13y ago
Wow, this is yet another major step forward for redis adoption! Congrats to antirez and the whole redis team!
120.
College tips: Advice from a professor(matt.might.net)
3 points by apu 13y ago|0 comments

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