I want to learn that is EmguCV's EigenObjectRecognizer's has Recognize() method.But I could not found any information that is using which algorithm.I used it in my thesis and I need to know which technique is using that method.I know it uses Eigen Vector and Eigen Values but I am not sure how it uses it. Is any one know could point me ?
Thanks.
It use a PCA-based algorithm, which is what eigenface use.
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I am trying to use the fmi4cpp API in C++ to run a simulation from a FMU and I would like to set some input parameters. What's the best way to do that for (1) fixed parameters and (2) continuous inputs? I bumped into the fmi2SetReal function but I struggle finding practical examples.
Thank you very much.
Using fmi4cpp, the call to fmi2SetReal is handled through the write_real functions in your slave instance. Location in source
i'd like to know which interpolation method is used in inpainting function in OPENCV and how it works.
Thank you very much for every reply.
The very link that you gave to the OpenCV docs tells what algorithms are used:
INPAINT_NS Navier-Stokes based method.
INPAINT_TELEA Method by Alexandru Telea [Telea04].
Here are links to papers on the two methods used
http://iwi.eldoc.ub.rug.nl/FILES/root/2004/JGraphToolsTelea/2004JGraphToolsTelea.pdf
http://www.math.ucla.edu/~bertozzi/papers/cvpr01.pdf
I am trying to build an iOS application. In one of the screens the user can type something in a search bar and I have to take same action for different spellings of the same word.
For eg: User can type "elephant" or "alephant" or "elefant". I have to take same action for all these three words.
Is there any library that identifies these words as similar ones ? I cannot use spellchecker as I need this in languages other than english also ..
I did some research and I found that there are some phonetic algorithms like Text::soundex for achieving this on server side. Wondering if any libraries there for iOS ?
Thanks in advance !!
A better alternative to Soundex would be Double Metaphone or, even better, Metaphone 3. You don't say what language you are using, but both of these algorithms are available in C++, C#, and Java
There's no soundex available in for example NSString, but if that's what you want, it's fairly easy to implement. Here's a—albeit horribly formatted—soundex NSString category from CocoaDev.
You could also use the Levenstein Distance algorithm to catch simple spelling errors. Also easy to implement (read the Wikipedia article for the details), but here's a NSString category for that.
Before you use these algorithms, normalize the input. There's the amazing CFStringTransform class in Core Foundation (see this great article about it on NSHipster—especially the last part about normalization) that automatically can transform different language inputs into normalized forms.
I am using FANN, pyfann in particular, for signature recognition. Before I can use AI, I have to prepocess the image first using the imagelab, a compilation of image processing libraries like image.h,jpegio.h,etc. My problem is I don't know how to incorporate the two so that I can use the their libraries in just one program. I have to extract the signatures' features like no. of pixels and length and width, but I don't know how to input these data to FANN. Any help? I really don't know exactly where to start.
I have a complex problem, I am getting formulas form the database and I need to evaluate them. I choose to convert them to post fix...and evaluate them the problem is that..
my formulas are like
roundoff(vd,2);
udV=lookup(uv*dse,erd);
ude=if(er>es)?sr:ss;
Can anyone find a solution for these type of conversions and evaluations...
No, not without some more clarification from you. Perhaps you could tell us what sort of technology you are using and what some, at least, of your functions mean. As it stands I recommend that you use Mathematica because it's probably powerful enough to tackle this type of problem. If you don't have access to Mathematica, perhaps you could hook in to Wolfram Alpha for evaluations.