Yes? No? An example of two-dimensional would be an x/y coordinate system. A vector in that coordinate system might be something like <3,4>, which would indicate a distance in a certain direction
An example of three-dimensional would be an x/y/z coordinate system. A vector in that coordinate system might be something like <3,4,5>, which would indicate a distance in a certain direction. Basically the length of the list is its "dimensionality". A dimension is a measurement of some sort, such as a distance in some reference direction. Traditionally - when talking about spatial dimensions - we also assume that these reference dimensions are orthogonal. That said, you can also think of a table as a "two dimensional" construct. Here, though, the dimensions have nothing to do with the contents of the table but instead refer to the height and width of the table. Or does this make sense to you? Thanks, -- Raul On Tue, Nov 26, 2013 at 2:01 PM, Don Guinn <[email protected]> wrote: > You lost me. Wouldn't a list of three numbers in each item still be > two-dimensional? > > > On Tue, Nov 26, 2013 at 11:51 AM, Raul Miller <[email protected]> wrote: > >> "Vectors of high dimensionality" are probably what we would call a >> long list. (A two dimensional vector is a list of two numbers. A three >> dimensional vector is a list of three numbers. And so on...) >> >> The topic of speech processing is interesting, of course. >> >> Thanks, >> >> -- >> Raul >> >> >> On Tue, Nov 26, 2013 at 4:23 AM, Anssi Seppälä <[email protected]> >> wrote: >> > "Vectors of high dimensionality". Is this interesting to J ? See below. >> > >> > >> > -----Original Message----- >> > From: [email protected] [mailto:[email protected]] On >> Behalf Of Tomi Kinnunen >> > Sent: 26. marraskuuta 2013 10:33 >> > To: [email protected] >> > Subject: NIST i-vector machine learning challenge @ Odyssey 2014 >> > >> > Hi all, >> > >> > Apologies for possible cross-postings. >> > >> > Attention, machine learning people: NIST organizes a new type of machine >> learning challenge. The first results of the challenge are presented as a >> part of Odyssey 2014: The Speaker and Language Recognition Workshop >> conference that UEF hosts in 2014 >> > (http://cs.uef.fi/odyssey2014/) >> > >> > National Institute of Standards and Technologies (NIST) organizes a new >> type of "i-vector machine learning challenge": >> > >> > http://www.nist.gov/itl/iad/mig/ivec.cfm >> > >> > The purpose is to invite researchers outside of speech & audio >> processing fields to do voice biometrics (speaker recognition) without any >> knowledge required of speech or signal processing. It involves processing >> of feature vectors of high dimensionality, each being a descriptor of one >> long audio record. NIST shares an unlabeled training set and participants >> will then use an online platform to submit pairwise similarity scores of >> vectors that NIST scores. >> > >> > Schedule: >> > >> > Late November 2013: Registration opens on website Late November 2013: >> Challenge data available on website [ February 10, 2014: Odyssey papers on >> Challenge due -- OPTIONAL ] April 7, 2014: Last day to submit output for >> official scoring April 8, 2014: Official scores (on evaluation subset) >> posted >> > >> > Feel free to forward this to your colleagues as widely as you can! >> > >> > Best wishes, >> > Tomi >> > >> > -- >> > ========================================== >> > Dr. Tomi H. Kinnunen, Researcher >> > School of Computing >> > University of Eastern Finland >> > P.O. Box 111, FI-80101 Joensuu, FINLAND >> > Email: [email protected], [email protected] >> > WWW: http://cs.joensuu.fi/pages/tkinnu/webpage/ >> > Tel. +358 50 442 2647, +358 44 507 0624 >> > ========================================== >> > >> > ---------------------------------------------------------------------- >> > For information about J forums see http://www.jsoftware.com/forums.htm >> ---------------------------------------------------------------------- >> For information about J forums see http://www.jsoftware.com/forums.htm > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
