Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition

Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition

Focusing on the facial-based depression recognition where the feature distribution could be shifted due to unlimited variations in facial image acquisition, we propose a novel Low-rank constrained latent Domain Adaptation Depression Recognition (LDADR) framework by jointly utilizing facial appearanc...

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Bibliographic Details
Main Authors: Jianwen Tao, Haote Xu, Jianjing Fu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Automated depression diagnosis
domain adaptation
multi-feature representation
latent space
Online Access:https://ieeexplore.ieee.org/document/8851226/

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