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generative models and unsupervised learning for videos
I wrote Recurrent Winner-Take-All and Perception Updating Networks. Those methods show how to learn features by exploiting temporal context and to predict future frames in a video (think video compressor or robot planning).
My undergrad and master research was on blind source extraction. We had ECG recordings from a pregnant woman and we had to
separate the ECG signal of the fetus from the signal of the woman. I used kernels methods back then. You kids don't know
that anymore, but kernels used to be cool.