thank you for the great library. I wonder if it might be possible to use SPORCO to solve a generalised sparse coding problem. If yes, could you please advise the best way to do so.
To provide more context, I am looking for a solver in python to address Eq. (12) from paper Learning from Weak and Noisy Labels for Semantic Segmentation. It seems the problem is a generalization of the Basis Pursuit DeNoising (BPDN) problem with weighted L1-norm sparsity regularisation (different elements have different weights). Thank you in advance for your answer.
After examining your nice source code, I found
self.wl1 = np.asarray(opt['L1Weight'], dtype=self.dtype). The L1Weight option was exactly what I was looking for! Thank you for the great library!
Dear Mr. Wohlberg,
thank you for the great library. I wonder if it might be possible to use SPORCO to solve a generalised sparse coding problem. If yes, could you please advise the best way to do so.
To provide more context, I am looking for a solver in python to address Eq. (12) from paper Learning from Weak and Noisy Labels for Semantic Segmentation. It seems the problem is a generalization of the Basis Pursuit DeNoising (BPDN) problem with weighted L1-norm sparsity regularisation (different elements have different weights). Thank you in advance for your answer.
Sincerely, Raman