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How to learn an object recognition system with millions of parameters from a small number of training examples - Microsoft Research
The human object recognition system has about a trillion synapses and computer vision systems will probably need to learn a similar number of parameters in order to be competitive. This makes it necessary to learn useful feature detectors from unlabeled examples (as the cortex does). I will describe how this can be done and will […]
Sep 9, 2016
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