Domain adaptation for face recognition: targetize source domain bridged by common subspace

DOI10.1007/s11263-013-0693-1zbMath1328.68244OpenAlexW2153963799MaRDI QIDQ903546

Meina Kan, Shiguang Shan, Junting Wu, Xilin Chen

Publication date: 6 January 2016

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-013-0693-1

zbMATH Keywords

face recognitiondomain adaptationcommon subspace learningtargetize source domain

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Uses Software

• CMU PIE
• Multi-PIE
• XM2VTSDB

Cites Work

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• Improving predictive inference under covariate shift by weighting the log-likelihood function
• Least angle regression. (With discussion)
• Transfer latent variable model based on divergence analysis
• Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
• DAML: Domain Adaptation Metric Learning
• For most large underdetermined systems of linear equations the minimal 𝓁₁‐norm solution is also the sparsest solution

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