hamner

6 ms·

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ICML 2011 Keynote - Hartmut Neven on Google Goggles and Quantum Computing(techtalks.tv)
4 points by hamner 15y ago|0 comments
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by hamner 15y ago
I imagine there would be some overhead (e.g. each user transmitting a certain user-specific pattern every 1/2 second, and each AP transmitting a certain AP-specific pattern every 1/2 second), to calibrate the location of each user in AP-spa
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by hamner 15y ago
The white paper is non-technical, but I think this is the gist: Currently, if you have multiple users and 1 access point (AP), the users split the bandwidth. Multiple APs and multiple users on the same channel results in split bandwidth as
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by hamner 15y ago
Hopefully this will improve on the algorithms they have in Lion (which seemed to work ever-so slightly better than OpenCV's face detection and work poorly on profile views).
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by hamner 15y ago
Please link to more reputable sources for scientific articles. For an example, the university press release is intended for a general audience and more factual: http://www.ust.hk/eng/news/press_20110719-893.html , and the peer-reviewed pu
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by hamner 15y ago
A lot of the comments below are criticizing "irrational investors" that were "duped" or the product as "vaporware." This is not the case. Color had a very talented team attempting to attack multiple technically challenging problems, that r
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by hamner 15y ago
The implementation of these algorithms is relatively straightforward. The challenge is the state of the art in computer vision is not currently at a point where it is possible to reliably detect 10s-100s of object categories in real time o
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by hamner 15y ago
Great non-technical overview. What early-stage startups are working on these types of problems?
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by hamner 15y ago
There is no such thing as a "best" data mining algorithm. Almost all the advantages you mentioned for decision trees, a form of recursive binary partitioning, applies to a greater extent to Random Forests, which are bootstrapped decision t
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by hamner 15y ago
Agree completely, had just copied the quote and was about to paste it to say the same thing. When we consider all the BS patents that have been rubber-stamped by the PTO, this is a very scary proposal.
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by hamner 15y ago
First paragraph doesn't make since - if there are 5 flips, there are 2^5=32 possible outcomes. If the "odds are low that even one person in the audience guessed it" then I'd expect less than 16 people to be in the audience. However, "abou
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by hamner 15y ago
Phone carriers already have this data, and Facebook does as well every time you access their website over standard methods
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by hamner 15y ago
I love this, a beautiful example of disruptive innovation: -Authors get up to 70%, as opposed to 5-15% -Far less trees are killed -Eliminates the role of the publisher / physical distribution channel, which claimed the lion's share of the p
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by hamner 15y ago
This is yet another example of an absolutely ridiculous patent lawsuit, where companies that lose in the marketplace sue successful ones, costing both the companies and general public money and providing a disincentive for innovation. What
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by hamner 15y ago
By extension, you also will always end up at ... Existence Sense Organism Biology Natural_science Science Knowledge Fact Information Finite_set Mathematics Quantity Property_(philosophy) Modern_philosophy
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by hamner 15y ago
That is important, but extremely challenging to execute for two reasons. 1. Historically, technology has outpaced the legal framework. Look at copyright law, software patents, and internet commerce for some examples. 2. It is next to imp
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by hamner 15y ago
The argument that important ML algorithms should be highly scalable ( O(logN), O(N), O(NlogN) ) holds in fields that are rich in "big data," with millions to trillions of data points. However, there are also many fields where acquiring a la
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by hamner 15y ago
F--- that. He approaches his position with humility, an understanding of what he doesn't know, and a desire to learn it. Instead of reveling in whatever success his startup has had, he's candidly looking forward to learn what he needs to
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by hamner 15y ago
Take any paper titled along the lines of "X predicts the stock market" with a big grain of salt. In this paper's case, the data analyzed is limited to under one year, and we never know how many parameterizations or models the authors looke
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by hamner 15y ago
As an analogy, tablet devices took two decades and at least 5 attempts.
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by hamner 15y ago
Where is the evidence that this document is valid? It may be, but it could just as easily be forged.
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by hamner 15y ago
A platform to address some of the most challenging problems in machine learning & artificial intelligence. Just started prototyping and don't want to be more specific at this point.
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Why I went to Namecheap 1 day after using Name: customer service matters
3 points by hamner 16y ago|0 comments