Nikolay Chumerin

Amazing! Nice work!

response on message 2010-01-13 by jamie yang:
Dear Jamie, thank you for your response. Can you, please, specify a bit more the problem you have with myLabel.
I mean:
- which version of Matlab do you use?
- on which platform (Win32, Win64, Linux 32, Linux 64, mac)?
- is there any messages in the matlab console?

Nikolay

[to Birkan Tunc]
Thank you for your response. Concerning your question...
The problem is in the way how the standard 2D convolution is done. Usually, when you convolve a matrix A (of format let say N-by-M) with a kernel k (of format n-by-m where n<=N and m<=M) you get a result C of format (N+n-1)-by-(M-m+1).
So, all kernels, except scalars (1-by-1), produce convolution result of format less then convolved matrix (A). Of course, you can use 'same' parameter in conv2 matlab function (e.g.
>> C = conv2(A, k, 'same');
and you will get the result of the same format as input (size(C) == size(A)).
But in this case you need to adapt the training routines as well. Theoretically it's a piece of cake, but technically it's not a trivial task (one has to properly handle borders during the backward convolution). Anyway, you can try. It would be nice to see the results of your work.

Brilliant! Thank you for your work!

Hi.

I'm testing your implementation for doing some work on face recognition. But I have to use more than 10 classes. I wonder if you can help me doing this modification on the code. I have been studying the code this day but I can't find where to modify for using 40 classes. I hope you can help me, please.

Greetings.