Patent ID: 11914678
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Basic communication processes (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A method for classification generalization, the method comprising:
encoding original input features from at least one input sample {right arrow over (x)}S with a uniquely decodable code using an encoder E(⋅) to produce encoded input features E({right arrow over (x)}S), wherein the at least one input sample {right arrow over (x)}S comprises uncoded input features, wherein encoding the original input features further comprises generating multiple encodings of the input features using a four-dimensional (4-D) five-level pulse-amplitude modulation (5-PAM) trellis-coded modulation (TCM) symbol mapper;
feeding the uncoded input features and the encoded input features E({right arrow over (x)}S) to a base model to build an encoded model, wherein the encoded model comprises the encoder E(⋅) and the base model; and
learning a classification function {tilde over (C)}E(⋅) using the encoded model, wherein the classification function {tilde over (C)}E(⋅) learned using the encoded model is more general than that learned using the uncoded input features alone.