Off-feature information incorporated metric learning for face recognition
Distance metric learning suppresses the intraclass variation while preserving the inter-class variation between two feature vectors. However, these two types of information are mixed in the feature vectors that need to be separated based on learning from the training data. The limited training data...
Saved in:
Main Authors: | Huang, Renjie, Jiang, Xudong |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/142570 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Joint Feature Learning for Face Recognition
by: Lu, Jiwen, et al.
Published: (2016) -
Cross Euclidean-to-Riemannian metric learning with application to face recognition from video
by: HUANG, Zhiwu, et al.
Published: (2018) -
Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning
by: HUANG, Zhiwu, et al.
Published: (2015) -
Localized multifeature metric learning for image-set-based face recognition
by: Lu, Jiwen, et al.
Published: (2018) -
Simultaneous local binary feature learning and encoding for homogeneous and heterogeneous face recognition
by: Lu, Jiwen, et al.
Published: (2020)