How to fix this error with Neural Network Classifier?

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I used these code lines to built a Neural Network classifier in a face recognition project:
knowing that: the size of the images = 60*80, number of classes=15, 90 images for train set and 75 for test set are used.
net = patternnet(10);
[net,tr] = train(net,feaVectors,labels); % feaVectors=4800*90 and labels=15*90
testY = net(mat_test); % mat_test=4800*75
[c,cm] = confusion(labels_test,testY);
but I have this error:
Out of memory. Type HELP MEMORY for your options.
Error in
[net,tr] = train(net,feaVectors,labels);
Can someone help me to solve this please?

Accepted Answer

Walter Roberson
Walter Roberson on 29 Dec 2015
Install more RAM. Use a 64 bit operating system and 64 bit MATLAB.

More Answers (1)

Greg Heath
Greg Heath on 30 Dec 2015
You need to find an algorithm for face recognition feature extraction to drastically reduce the size of the 4800-dim inputs.
Hope this helps.
Thank you for formally accepting my answer
Greg
  1 Comment
Sa rah
Sa rah on 30 Dec 2015
ok, thank you for the answer, I'll try to find a feature extraction algorithm. Yet, when I reduce the dimensions of the feature vectors by changing the image size, I don't get a satisfying result, the true recognition rate is around 50% or less, and that's too low. I don't get why because I think the implementation is correct !! In fact, I use the same inputs with SVM and I get very satisfying results. can you help me in this ?

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