Feature fusion with covariance matrix regularization in face recognition

The fusion of multiple features is important for achieving state-of-the-art face recognition results. This has been proven in both traditional and deep learning approaches. Existing feature fusion methods either reduce the dimensionality of each feature first and then concatenate all low-dimensional...

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Bibliographic Details
Main Authors: Lu, Ze, Jiang, Xudong, Kot, Alex Chichung
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
Subjects:
CNN
Online Access:https://hdl.handle.net/10356/87999
http://hdl.handle.net/10220/44512
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Institution: Nanyang Technological University
Language: English
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