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Viewing profile — quantombone

quantombone

HN member
Joined
Fri, Mar 25, 2011, 8:22 PM UTC
HN karma
52
Public activity
21 items

About quantombone

http://quantombone.blogspot.com/

Recent public activity

  1. comment
    Comment #18850484

    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…

  2. comment
    Comment #18804155

    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-depende…

  3. comment
    Comment #18797023

    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 l…

  4. comment
    Comment #18796161

    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…

  5. comment
    Comment #18794720

    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 (r…

  6. comment
    Comment #9817953

    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. comment
    Comment #9750566

    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…

  8. comment
    Comment #9284190

    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 hac…

  9. comment
    Comment #9284177

    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 leavi…

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    Comment #9252238

    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 …

  12. comment
    Comment #9252197

    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. comment
    Comment #9252010

    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…

  14. comment
    Comment #9251862

    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…

  15. story
    Will the LazeeEye 3D scanning extension for smartphones get Crowdfunded?

    ~2 hours left and 92% of 250K on Kickstarter. If funded, it looks like these guys will be able to leave their jobs and work full-time on some cool 3D tech! https://www.kickstarter.…

  16. comment
    Comment #7594118

    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 fell…

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  20. comment
    Comment #2370229

    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…

  21. comment
    Comment #2370215

    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 al…