Would love to see someone with resources (i.e. Valve) somehow maintain it (or do something similar).
Here's an open source fork: http://glsl-debugger.github.io/
665 karma · joined March 6, 2010
Would love to see someone with resources (i.e. Valve) somehow maintain it (or do something similar).
Here's an open source fork: http://glsl-debugger.github.io/
On that front, it's amazing to see how much of an effect "switching color spaces" can have on many algorithms.
Here's our engine linking "real world" photos into the Macys catalogue (based on color, shape, texture): http://www.pcsso.com/demo/macys.htm
My knowledge from local farmers is that they already pay for experts who amalgamate a variety of data sources (soil testing, aerial, satellite, etc) to assess & treat their crops. I mean, does a farmer even know what is NDVI or how to interpret it?
Personally, I think the TinEye color results are better than Shutterstock's approach....although having meta-data alongside is definitely a must.
http://www.nature.com/ajg/journal/v104/n2/abs/ajg2008118a.ht... http://www.nature.com/ajg/journal/v100/n7/abs/ajg2005272a.ht...
May only help for the more mild cases, but I know a number of people who speak very highly of probiotics for various digestive tract issues.
Samsung and Hyundai would be prime examples of companies that would not exist if not for direct intelligent investment of significant government money. How else could South Korea compete with China and Japan "next door" if not for a focused effort such as what was done there? It would be quite difficult and I strongly doubt they would be anything like what they are today.
It's just regional perspective, I mean I'm quite happy with our taxation vs services provided (at both personal and corporate level). Free healthcare, 12 months maternity leave for my wife, subsidized daycare, clean water, decent EI just in case, etc, etc. Although it's Canada, so the weather sucks for most of the year.
Investors in Canada have an appetite for risk somewhere in the neighbourhood of "mutual fund vs GIC" levels. For someone with Silicon Valley connections, fine it could work, but this is not good general advice.
Even iNovia, which is probably the most forward looking VC in the country, has a fairly small fund (low $100M if memory serves), I believe below the size of the average US fund.
In many cases a T1DM diagnosed child was sick with a cold/flu immediately prior to onset of T1DM. Disease has been theorized for quite a long time to influence the immune system's reaction. A large majority of T1DM cases are diagnosed in winter, Vitamin D / sunlight has been hypothesized to play a role - more northern countries tend to have higher rates.
Even in the hereditary factor, here is research indicating that epigenetics play a role - timing of food shortages during our grandparents' lives significantly increases likeliness of T1DM. That appears to be an environmental factor tweaking our genes.
Given the constraints of the asker (all available in OpenCV), the solution I would suggest first is SIFT + homography, both easy to use and in OpenCV (sample code is around). Yes, there's a lot of other possibilities, but this would be an improvement over the original.
As for fees, it's entirely reflective of a) how much money the problem is costing the client and b) your ability to prove to them your value to the client. Clients do not always respect the complexity of the problems they're facing, so it's easier to work with those who have tried for themselves.
For what it's worth, we're hiring right now in this space (computer vision software development), located in Ottawa, Canada: http://ca.indeed.com/job/software-engineer-71a851096a104223
This (novella-sized) article definitely resonated with me, will try applying some of their advice soon...
Doing business in China, I have noticed that there is somewhat of a "creativity gap" (as I call it). I believe that as their society evolves and begins to create more of their own IP, the laws will eventually adapt to protect such developments. In the meantime, it's very difficult.
But still, Cisco has had everything copied (down to the model #s) by you-know-who and yet still makes billions (also powering the great firewall). Like Microsoft & Cisco, there are ways to penetrate and dominate the market in the midst of the piracy.
However, if your IP is some "easily de-obfuscated" javascript (and you're a startup), it's a very difficult position and my heart goes out to them.
I'd say their education system (and society) tends to hammer the creativity out of people. I see strong evidence that who think differently are ridiculed. Only the strongest personalities could withstand this, and it is obvious that they often leave for greener pastures. Nurturing the free thinkers is not easy.
Superpower & housing bubble aside, first they have to figure out things like why having seatbelts in cars is important - that the individual is in fact valuable.
Not to say speculation isn't trouble, but theirs isn't built on debt (as was ours).
From a computer vision perspective, this representation still has problems (as do all colour spaces). Look at how massive the green space is. There's 4-5 greenish slices that are close to each other, yet only 1 slice for yellow and 2ish for red. Red is the colour humans see "best", physiologically it should have the largest representation, whereas blue should be smallest.
From the simpler side (i.e. a basic colour wheel application), I'm not sure if this makes it much easier or faster for me to find a colour.
In any case, the article is very nice high level overview of a fascinating problem.
It basically argues that historical "male expendability" has geared men towards a predisposition for higher risk endeavors.
</sarcasm>
I wholeheartedly agree; introducing schemas is obviously a benefit to JSON. Schemas make things more predictable and plus, nobody's forcing you to use one.
HBase is an interesting choice, although I'd need to see stronger public "trials by fire" before I'd use it - but then again, we don't have dev resources to spare (like Facebook does).
http://www.dailyprincetonian.com/2009/10/12/24103/
"African-American applicants with SAT scores of 1150 had the same chances of being accepted as white applicants with 1460s and Asian applicants with perfect 1600s"
I'm not sure if that necessarily translates into graduate studies, but I'd guess that it does.
If you just want Graphs/Charts, here's a few off the top of my head:
http://www.deensoft.com/lab/protochart/