NDLI: Cross-database age estimation based on transfer learning

Content Provider	IEEE Xplore Digital Library
Author	Ya Su Yun Fu Qi Tian Xinbo Gao
Copyright Year	2010
Description	Author affiliation: School of EE, Xidian University, Xi'an 710071, China (Ya Su; Xinbo Gao) \|\| Department of CSE, University at Buffalo (SUNY), NY 14260, USA (Yun Fu) \|\| Department of CS, University of Texas at San Antonio, 78249, USA (Qi Tian)
Abstract	Due to the temporal property of age progression, face images with aging features display some sequential patterns with low-dimensional distributions, which can be effectively extracted by subspace learning algorithms. The patterns extracted by traditional subspace learning methods are mostly restricted to a certain database. As a result, the performance cannot be generalized when applying these patterns to cross databases with different multi-mode variations (e.g. gender, identity, and imaging conditions.) This problem has yet not been given much attention before. In this paper, the cross-database age estimation problem is solved by a transfer learning framework. The proposed framework transfers the knowledge gained from training samples to the target data and improves the performance in cross-database scenarios. Experimental results for age estimation tasks on different datasets demonstrate the effectiveness and robustness of our proposed framework.
Starting Page	1270
Ending Page	1273
File Size	297460
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495414
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image databases Aging Learning systems Human computer interaction Spatial databases Robustness Face detection Terrorism Testing Displays subspace learning Age estimation transfer learning database fusion
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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