APPARATUS AND METHOD FOR SEMI-SUPERVISED LEARNING

APPARATUS AND METHOD FOR SEMI-SUPERVISED LEARNING

A semi-supervised learning apparatus includes a backbone network configured to extract one or more feature values from input data, and a plurality of autoencoders as many of which are provided as the number of classes to be classified of the input data, wherein each of the plurality of autoencoders...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: KIM, Byoung-Jip, KIM, Ji-Hoon, CHOI, Young-Joon, CHOI, Jong-Won
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A semi-supervised learning apparatus includes a backbone network configured to extract one or more feature values from input data, and a plurality of autoencoders as many of which are provided as the number of classes to be classified of the input data, wherein each of the plurality of autoencoders is assigned any one class of the classes to be classified as a target class and learns the one or more feature values according to whether the class, with which the input data is labeled, is identical to the target class.