ReduNet
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memory will be very large
If the data format is slightly larger, the memory will be very large. Do you have any suggestions for optimization? Any suggestions are welcome, thank you!
On a high level, I think one potential way to reduce the memory is the learn (or construct) each E and C_j matrix by batch. As long as there is an efficiently way to solve the self-expressive regression problem at each step, then the construction of those matrices should be scalable.