Adaptive Facial Imagery Clustering via Spectral Clustering and Reinforcement Learning

In an era of big data, face images captured in social media and forensic investigations, etc., generally lack labels, while the number of identities (clusters) may range from a few dozen to thousands. Therefore, it is of practical importance to cluster a large number of unlabeled face images into an...

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Bibliographic Details
Main Authors: Chengxiao Shen, Liping Qian, Ningning Yu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/17/8051