Last week was quite busy with midterms (plus there was nobody in the lab, and I don't have keys :) so I wasn't able to start fiddling with the board. Instead, since there is an obvious winner among the algorithms, I decided to start looking at it.

The basis is described here: http://research.faceplusplus.com/face-r ... -iccv2013/. In short, it uses the cascade of deep convolutional neural networks. Since I'm not doing face recognition and don't need to know the exact shape of an eyebrow, I will only need the first two, at most three.

A few papers that might be useful:
Interesting paper on parallelizing the ConvNet
Not ConvNet, but a lot of implementation details on GPU.
On training ConvNets
Another implementation of a Neural Net on GPU


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