Or you could become Paul Graham =)
4,164 karma · joined October 23, 2007
The camera itself is also interesting in that it contains a few different "computational imaging" lens-systems within: normal, wide-angle, and stereo, "all-in-one". See [2] for a description of what computational imaging means in general. I'm happy to try to answer any questions (this wasn't my project, but I did play around with one).
The camera itself is also interesting in that it contains a few different "computational imaging" lens-systems within: normal, wide-angle, and stereo, "all-in-one". See [2] for a description of what computational imaging means in general.
I'm happy to try to answer any questions (this wasn't my project, but I did play around with one).
(I was AE 2000-2005...I wonder if we overlapped?)
I can't believe you'd write something this awful as a direct personal attack.
One of the best tricks I learned during our startup was a rule for deciding who to hire. Could you describe the person as an animal? It might be hard to translate that into another language, but I think everyone in the US knows what it means. It means someone who takes their work a little too seriously; someone who does what they do so well that they pass right through professional and cross over into obsessive.
"Out of context" means you omitted other text that changes the meaning of the text you did quote. See rayiner's comment about this (the very next paragraph...)
The monetary base is the stuff consumers touch
No, it is not. See the wikipedia link and Rayiner's comment, which explicitly refutes this (The monetary base must not be confused with the money supply which consists of currency circulating in the public)
It is hard to take your arguments on good-faith if you make such blatantly false statements.
Also, if the new site can avoid comments like this, it might actually have a chance =)
Our current coverage is of the trees of the northeast US (about 200 species), but we are working on expanding that.
Object detection is an extremely tough problem (some would say it is the computer vision problem ;-)), and while we've made a lot of progress in the past decade, the best methods are still terrible [2] -- average detection precision between 30-50%. For reference, most consumer applications require an AP of 90+% to be considered usable.
So if this is a completely automated solution, it's not going to be able to do much better, unless the creators can make massive (I mean orders-of-magnitude) improvements on the state-of-the-art.
But that being said, there are some applications where lower performance is acceptable. And if you add some manual verification, you could conceivably make this much better (with an increase in latency, though). Another possibility is to specialize on a certain type of input image (e.g., if you're a company taking photos in your warehouse, where all your photos look very similar and/or you can control the lighting and environment).
Still, I'm excited to see companies attempting to take object detection out to the real world. All the best to these guys!
[1] http://pascallin.ecs.soton.ac.uk/challenges/VOC/
[2] http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2011/resu...
The viewtext service is also incredibly awesome for printing out articles on paper -- I've found it to be much better than even the custom "print" versions of many articles, and certainly better than readability, etc.
http://en.wikipedia.org/wiki/TALF
"The way TALF loans were set up, 100 percent of any profit is retained by the borrower, but the Fed and the Treasury absorb any losses."
Goldman Sachs? Citibank? AIG (to pay back Goldman Sachs)?
Two prominent groups that are working on it are Andrew Zisserman's group at Oxford: www.robots.ox.ac.uk/~vgg/publications/2012/parkhi12a/parkhi12a.pdf
And Peter Belhumeur's group at Columbia University, who'll be presenting a new paper on detecting and recognizing dog breeds at the European Conference on Computer Vision (ECCV) in 2 weeks. [Peter was my PhD advisor]
More generally, many people in computer vision are getting excited about "fine-grained visual categorization," which is about classifying things at roughly the "species" level. This is in contrast to a lot of the previous computer vision literature, which either focused on generic categories (e.g., people vs animal vs car vs rocket-propelled-grenade) or specific object/instance recognition (e.g., face recognition).
If you can build a complete operating system + major programs in 20,000 lines of code, what system should need a million?
http://www.vpri.org/pdf/tr2008004_steps08.pdf
(They're not quite down to 20,000 yet, but they're getting there)
The first sentence is snarky and a put-down. The second sentence is a quasi-apology for the first line. The third sentence disparages the work done by people who, in all likelihood, worked very hard, had good intentions, suffered through horrible events, and were at least reasonably competent.
Also, there is no indication that you have any inside information about this, and you did not elaborate on why you were "deeply disappointed in their execution" -- do you have anything to suggest that anyone else would have executed better, given the circumstances? Isn't it better to give them the benefit of the doubt? Couldn't you express disappointment that the project isn't complete without putting down the people who worked on it?
The project is still in the academic research phase and I don't think they're quite as far as actually implementing it in a car in the wild, although they're moving ahead with it as fast as they can, so they might have actually done this recently. It won an award at the last International Conference on Computational Photography (ICCP) because it's just such a cool idea, and it seems like it might actually be feasible to some degree (even despite all the issues people have mentioned here and elsewhere). At ICCP, it was still in simulation and prototype-with-rain-machine-in-the-lab mode.
Btw I highly recommend watching the ICCP talk, available to watch from that webpage, or for download here: http://www.cs.cmu.edu/~ILIM/projects/IL/smartHeadlight/media...
Is that no longer true? If so, I should look at reviving our old system.