Hi, Interesting links...
For such a kind of signal processing (involving optimization and so on). I would embed many C functions instead of coding everything in nesC. In my case I feel more comfortable. What is your opinion, would you rather code everything in tasks and modules? Cheers! Sergio On Fri, Apr 8, 2011 at 10:44 AM, Fernando Pianegiani <[email protected]> wrote: > Eric, the papers that I posted were about the efficient implementation of > the SVM, in particular for a couple of low power micro-controllers (the > Atmel ATmega128L and the Microchip PIC16F877). The first of the tow was > programmed by NesC for the Mica2, Mica2Dot, MicaZ, etc. > > We used nu-SVM, which is for implementations on platforms with > reduced capabilities [3], [4]. > Unfortunately, IEEE papers have to be purchased. > > Free definitions of SVM with some references can be found at > http://en.wikipedia.org/wiki/Support_vector_machine > > or at many other websites. > > Some important references are: > > [1] V. Vapnik, Statistical Learning Theory. Hoboken, NJ: Wiley, 1998. > > [2] B. Scholkopf and A. Smola, Learning With Kernels. Cambridge, MA: > > MIT Press, 2002. > > [3] B. Schölkopf, A. Smola, R. Williamson, and P. L. Bartlett. New support > vector algorithms. Neural Computation, 12, 2000, 1207-1245. > > [4] > http://www.google.it/url?sa=t&source=web&cd=1&ved=0CBgQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.6.9729%26rep%3Drep1%26type%3Dpdf&rct=j&q=tutorial%20nu-svm&ei=RsaeTeq8NMeLswaS0oz9AQ&usg=AFQjCNEJdh4s5wUKz1C7bQhL9h2LnrP5nA&sig2=0RV7GfzPjbw5o8-UfQXw0A&cad=rja > > [5] LIBSVM, SVM Tool. [Online]. Available: http://www.csie.ntu.edu.tw/ > > cjlin/libsvm/ > > Fernando > > On Fri, Apr 8, 2011 at 9:36 AM, Eric Decker <[email protected]> wrote: >> >> Neither of those abstracts define what support vector machines are. They >> reference the term. >> And one would need to by the papers to see if it is defined inside the >> paper. >> >> doesn't help. no problem. >> >> From wikipedia: http://en.wikipedia.org/wiki/Support_vector_machine. Is >> that what the original >> poster is referring to? >> >> If so, the first paper talks about an implementation on the mica2. Not >> sure how to find >> the source code but the paper maybe helpful. >> >> On Thu, Apr 7, 2011 at 11:49 PM, Fernando Pianegiani >> <[email protected]> wrote: >>> >>> Hi, >>> >>> perhaps these two works can be of help: >>> >>> >>> http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=4404133&queryText%3Dpianegiani%26openedRefinements%3D*%26searchField%3DSearch+All >>> >>> >>> http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=4061072&queryText%3Dpianegiani%26openedRefinements%3D*%26searchField%3DSearch+All >>> >>> Fernando >>> >>> On Fri, Apr 8, 2011 at 2:16 AM, Eric Decker <[email protected]> wrote: >>>> >>>> Hi Sid, >>>> >>>> what pray tell is a support vector machine? >>>> >>>> On Thu, Apr 7, 2011 at 3:09 PM, sid sid <[email protected]> wrote: >>>>> >>>>> Hi all. >>>>> >>>>> >>>>> i want to develop a support vector machine (SVM) on nesc >>>>> >>>>> Does anybody have an experience about this topic? >>>>> >>>>> Thanks in advance >>>>> >>>>> sid >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> _______________________________________________ >>>>> Tinyos-help mailing list >>>>> [email protected] >>>>> >>>>> https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help >>>> >>>> >>>> >>>> -- >>>> Eric B. Decker >>>> Senior (over 50 :-) Researcher >>>> >>>> >>>> >>>> _______________________________________________ >>>> Tinyos-help mailing list >>>> [email protected] >>>> https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help >>> >>> >> >> >> >> -- >> Eric B. Decker >> Senior (over 50 :-) Researcher >> >> > > _______________________________________________ > Tinyos-help mailing list > [email protected] > https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help > _______________________________________________ Tinyos-help mailing list [email protected] https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help
