04-23-2014 11:08 AM
Is it possible to implement multiclass support vector machine and probabilistic neural network using labview?
04-24-2014 04:46 AM
Hello,
regarding the multiple classes SVM:
NI Vision Concepts Manual:
"SVM classification typically involves two classes. For applications that involve more than two classes, the SVM algorithm uses a one-versus-one approach. In a one-versus-one approach, the algorithm creates a binary classification model for every possible combination of classes, so that n number of classes produces n × (n – 1)/2 classification models. During classification, the algorithm uses a voting mechanism to identify the best class. If the voting mechanism identifies multiple classes, the algorithm selects the class that is closest to the sample."
Best regards,
K
04-29-2014 02:34 AM
i am new to work with labview and neural network.. Can you share that VI.. my work requires classification of hand gestures like up , down, left , right etc using features like mean , energy , fft etc..
05-03-2014 02:48 AM
Hello,
for starters, I suggest checking the NI Vison Concepts Manual to get a bit familiar with the libraries:
http://digital.ni.com/manuals.nsf/websearch/80C4CF7AFB49D89586257B98006D138A
Vision has libraries for fft, energy, mass, etc... calculations as well as two classification methods (SVM and nearest neighbour).
A SVM example for texture classification:
Best regards,
K