Bi-shifting auto-encoder for unsupervised domain adaptation

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3846-3854

  Kan, Meina ^a   Shan, Shiguang ^a,b   Chen, Xilin ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b Shenzhen Fundamental Research Institutions   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; LEARNING SYSTEMS; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS;

AUTO ENCODERS; DOMAIN ADAPTATION; IMAGING SENSORS; MODEL LEARNING; NON-LINEAR TRANSFORMATIONS; SPARSE RECONSTRUCTION; SUPERVISED METHODS; TARGET DOMAIN;

COMPUTER VISION;

EID: 84973861992     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.438     Document Type: Conference Paper

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