Why svmclassify shows 'Out of memory' error on the same data on which neural network works very fine?

I have a dataset of dimension <1000*1000*10>, when I tried it to classify using a neural network it works well. What I actually did is:

[m,n,p] = size(Dataset);

Dataset =  reshape(Dataset,m*n,p);

NNoutput = net(Dataset);

and it works well with <1000000*10> dimensional dataset. but when i gives the same as input to a 'svmclassify' it shows

Error using svmclassify (line 114)
An error was encountered during classification.
Out of memory. Type HELP MEMORY for your options.

I have 8 GB of RAM installed in my PC with intel i7-2600CPU @ 3.40GHz processor.

[Walter Roberson]

Could you show the sizes of the fields of the structure returned by svmtrain() ?