Patent ID: 11922018
Assignee: HITACHI, LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 6:
7. The storage system according to claim 6, wherein
the compressor generation processing includes configuring the processing unit for each of a plurality of scales that the multidimensional dataset can take,
the network learning is learning of the processing unit for each of the scales and is learning for minimizing an overall error including errors for each of the scales as elements,
for the scales, the errors are obtained from a function concerning an input multidimensional dataset and based on a deterioration degree and a bit rate,
for the scales, the deterioration degree is based on a difference between an input dataset for the scales and an output dataset obtained through the encoder and the decoder corresponding to the scales of the input dataset, and
for the scales, the bit rate is based on a difference between a feature value map obtained for the scales and entropy calculated based on the feature value map by the entropy estimator corresponding to the scales.