Patent ID: 11922301
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for classification, the method comprising:
forming a first training dataset and a second training dataset from a labeled input dataset, wherein the forming of the first training dataset includes:
oversampling the labeled input dataset to produce a first supplementary dataset; and
combining the labeled input dataset and the first supplementary dataset to form the first training dataset;

training a first classifier with the first training dataset;
training a variational auto encoder with the second training dataset, the variational auto encoder comprising an encoder and a decoder;
generating a third dataset, by feeding pseudorandom vectors into the decoder, the decoder generating an output based on the pseudorandom vectors, wherein the third dataset is generated based on the output;
labeling the third dataset, using the first classifier, to form a third training dataset;
forming a fourth training dataset based on the third training dataset; and
training a second classifier with the fourth training dataset.