domain adaptation for face recognition targetize source domain bridged by common subspace.pdf
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domain
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2013
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face
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Int J Comput Vis (2014) 109:94–109
DOI 10.1007/s11263-013-0693-1
Domain Adaptation for Face Recognition: Targetize Source
Domain Bridged by Common Subspace
Meina Kan · Junting Wu · Shiguang Shan · Xilin Chen
Received: 15 March 2013 / Accepted: 7 December 2013 / Published online: 31 December 2013
© Springer Science+Business Media New York 2013
Abstract In many applications, a face recognition model
learned on a source domain but applied to a novel target
domain degenerates even significantly due to the mismatch
between the two domains. Aiming at learning a better face
recognition model for the target domain, this paper proposes
a simple but effective domain adaptation approach that trans-
fers the supervision knowledge from a labeled source domain
to the unlabeled target domain. Our basic idea is to convert the
source domain images to target domain (termed as targetize
the source domain hereinafter), and at the same time keep
its supervision information. For this purpos
domain/source/target/2013/December/face/recognition/adaptation/targetize/purpos/
domain/source/target/2013/December/face/recognition/adaptation/targetize/purpos/
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