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We present the application of Principal Component Analysis for data acquired during the design of a natural gesture interface. We investigate the concept of an eigengesture for motion capture hand gesture data and present the visualisation of principal components obtained in the course of conducted experiments. We also show the influence of dimensionality reduction on reconstructed gesture data quality.

Friday afternoon geeky humour.

Sounds too super to be true, no?

> Sounds too super to be true, no? Yeah, how else may it sound, being a combination of hi-quality (I assume) research targeted at attracting funding, raised to the power of Science Daily's pop-pseudo-scientific journalists' bu****it? Original article starts with a cool sentence too: > The ultimate proof of our understanding of natural or technological systems is reflected in our ability to control them. ...a good starting point for a never-ending philosophers' debate... Now seriously, because of a big name behind the study, I'm very curious to read the original article. Although I expect the conclusion to be that in practical cases (i.e. the cases of "networks" you *would like to* "control"), you need to control all nodes or something equally impractical...

then I am looking forward to reading your conclusions here after you will have actually read the paper

anything happening on this since 3 years?

yes it seems like. most of it seems however directed toward understanding this effect, and not toward applications. But i'm still convinced that we could find many very interesting applications !!! a few references from ADS: 1 2011PhRvA..83f3807B 1.000 06/2011 A E X R C U Brida, G.; Chekhova, M. V.; Fornaro, G. A.; Genovese, M.; Lopaeva, E. D.; Berchera, I. Ruo Systematic analysis of signal-to-noise ratio in bipartite ghost imaging with classical and quantum light 2 2011PhRvA..83e3808L 1.000 05/2011 A E R U Liu, Ying-Chuan; Kuang, Le-Man Theoretical scheme of thermal-light many-ghost imaging by Nth-order intensity correlation 3 2011PhRvA..83e1803D 1.000 05/2011 A E R C U Dixon, P. Ben; Howland, Gregory A.; Chan, Kam Wai Clifford; O'Sullivan-Hale, Colin; Rodenburg, Brandon; Hardy, Nicholas D.; Shapiro, Jeffrey H.; Simon, D. S.; Sergienko, A. V.; Boyd, R. W.; Howell, John C. Quantum ghost imaging through turbulence 4 2011SPIE.7961E.160O 1.000 03/2011 A E T Ohuchi, H.; Kondo, Y. Complete erasing of ghost images caused by deeply trapped electrons on computed radiography plates 5 2011ApPhL..98k1115M 1.000 03/2011 A E R U Meyers, Ronald E.; Deacon, Keith S.; Shih, Yanhua Turbulence-free ghost imaging 6 2011ApPhL..98k1102G 1.000 03/2011 A E R C U Gan, Shu; Zhang, Su-Heng; Zhao, Ting; Xiong, Jun; Zhang, Xiangdong; Wang, Kaige Cloaking of a phase object in ghost imaging 7 2011RScI...82b3110Y 1.000 02/2011 A E R U Yang, Hao; Zhao, Baosheng; Qiu

ARCA is the romanian google X prize competitor.

I like the 4 stage system. But how did they solve the plume issue ?

The plume issue is not that difficult. I think they used something similar on Apollo LES. The problem is stabilizing the entire system, which is extremely difficult. The entire system will most likely plummet down after the solar balloon phase (which is the only phase they tested before). At least they are not using government money :).

For those sceptics about the use of neuroscience: A 20min talk (by a computer scientist!) about brain science and its use to build intelligent technology

so what does he sell? 22' without saying anything? Just "intelligence is prediction" - great but what are you gonna do mate?

I do not think his intention is to sell anything... Just to make people (from a non neuroscience background) aware that brain science will have an impact on technology. Also: I am a firm believer in that "prediction"defines intelligence, as he states, and that making machines that behave in such a way is the way to go :) (the talk is from 2003 btw :p)

following Francesco's post from Slatdot, this is now the original article from the NYT ... enjoy

completely crazy these high speed transactions... they should rather put their efforts in science...!

The information processing performance of a network can be enhanced by a sparse or low-cost configuration with disproportionately high efficiency. --> any ideas?

Is this bullshit or really useful?

Excellent comments from the Apollo original source code:)

See, open source works :)

I always new it - the future of telecom is with pigeons ... (what happened to our idea of the pigeon inspired navigator??)

Well, it's been newn... I mean known since computer networks were invented that it'll take them a long time to match with a throughput of a train carrying recorded media. The point is that throughput is not the only important parameter: the other is response time... (BTW let's see how this commenting feature works, not many folks seem to use it...)

I do use it quite regularily .... a train full of DVDs and flash drives, yes ok - but a pigeon!!!!

Biologists have figured out the most efficient way to destroy an ecosystem - and it's based on the Google search algorithm. Scientists have long

strange ...

mould? England? That actually does compute.

NASA Nebula News: September 2009 - SpaceRef

just to make Nina and Friederike envious ...

Francesco have a look at this if it could be of interest for pagmo?

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