quantombone

5 ms·

1.
by quantombone 8y ago
A VR system that lets you walk around your house will have to detect the tables/chairs/walls in your living space and place some kind of digital content in their place so you don’t bump into stuff. VR without perception won’t work
2.
by quantombone 8y ago
Using PyTorch (and the broader space of machine learning algorithms under the “deep learning” category) really makes me feel like a wizard. But the downside to being Python-dependent is that putting PyTorch stuff into products not easy. I h
3.
by quantombone 8y ago
SVMs have convex objective functions, but when people use SVMs, they are using some kind of features + SVMs on top. The success of the approach is both good features, and waiting long enough for the optimizer to converge. With DNNs, people
4.
by quantombone 8y ago
The hinge-loss and the primal form of the SVM objective is really easy to understand. Every ML 101 class would jump into the dual formulation, talk about kernels, RKHS, and all the fancy stuff. Once you realize that a linear SVM isn’t very
5.
by quantombone 8y ago
Back in around 2008, SVMs were all the rage in computer vision. We would use hand designed visual features and then a linear SVM on top. That was how object detectors were built (remember DPM?) Funny how SVMs are just max-margin loss functi
6.
by quantombone 11y ago
Here is a zooming example. I definitely noticed that it makes people's eyes look evil. Maybe it's hallucinating animal eyes on top of human eyes... http://imgur.com/kThM9vf
7.
by quantombone 11y ago
ConvNets have gotten popular because of their strong empirical results. All the recent work on visualizing CNNs suggests that the community working on Deep Learning still has a lot to learn about their own algorithms. But high-level notions
8.
by quantombone 11y ago
Is there an official list somewhere which assigns animals to kinds people you will find in a startup? Like "shark" for VC, "owl" for the PhD, grizzly bear for the bearded Linux hacker, etc? I remember a political satire
9.
by quantombone 11y ago
I use a pen when I read. I underline important bits and actually write down the key points in the margin. Writing these things down helps memory and I don't really care about leaving the pages in the same state that I found them. Also
10.
by quantombone 11y ago
Thanks!
11.
by quantombone 11y ago
Yes to @eof's response. He does know me well, and should be able to clarify in my absence. There is going to be an AI engine that we use in the future in a similar way that we use Linux today. I mean that "future Linux-ish AI engi
12.
by quantombone 11y ago
You're correct. I really should have used a word like "invaluable". I love my Duda&Hart. I'm not sure why "infamous" felt appropriate. Thanks for the catch.
13.
by quantombone 11y ago
Thanks, will check out quora links. Follow up question: is it advisable to get application feedback from other YC companies? In my head this only makes sense if the product made by applicant can be used by the startup you want feedback from
14.
by quantombone 11y ago
It would be great to see examples of successful applications, and why they stood out. Seeing how the initial presentation of the idea is different than the company today would help applicants be bolder. There's the Dropbox application
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Will the LazeeEye 3D scanning extension for smartphones get Crowdfunded?
2 points by quantombone 12y ago|0 comments
16.
by quantombone 12y ago
I remember taking Moore's grad level Machine Learning course in 2005 (was co-taught with Tom Mitchell). I have great memories from that course, especially interactions with my fellow robotics friends: Mark Palatucci (now a co-founder a
17.
The "Blank Check" of Entrepreneurship(quantombone.blogspot.com)
1 points by quantombone 13y ago|0 comments
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Brand Spankin' New Vision Papers from ICCV 2013(quantombone.blogspot.com)
2 points by quantombone 13y ago|0 comments
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What my mother taught me about computer vision(quantombone.blogspot.com)
4 points by quantombone 13y ago|0 comments
20.
by quantombone 15y ago
While vision might not be the best avenue for studying general purpose intelligence, it is worthwhile to think of vision as more related to hard AI and less of a problem of applied machine learning. I think once vision researchers understan
21.
by quantombone 15y ago
I agree that NLP is no less AI than vision. What I wanted to point out in my post (I am the author) is that too many smart computer vision researchers don't view vision as AI at all. Somehow many people's research program is centered around