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Picking the right complete basis of steerable functions

Hi,

Really enjoyed your work, thanks for open-sourcing! I have few questions on the implementation choices that I was not able to locate in the paper:

  1. How did you go about picking the complete basis of 2D Hermite polynomials with 2D Gaussian envelope? Did you try any other options, and if so, what were they?
  2. Did you use a heuristic method for picking the base parameter a for the scaling group for each dataset? I'd imagine the optimal value would be different for different datasets.

Thank you so much in advance!

Best,
Beliz

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