Multi-Task Warped Gaussian Process for Personalized Age Estimation

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Multi-Task Warped Gaussian Process for Personalized Age Estimation
Automatic age estimation from facial images has aroused research interests in recent years due to its promising potential for some computer vision applications. Among the methods proposed to date, personalized age estimation methods generally outperform global age estimation methods by learning a separate age estimator for each person in the training data set. However, since typical age databases only contain very limited training data for each person, training a separate age estimator using only training data for that person runs a high risk of overfitting the data and hence the prediction performance is limited. In this paper, we propose a novel approach to age estimation by formulating the problem as a multi-task learning problem. Based on a variant of the Gaussian process (GP) called warped Gaussian process (WGP), we propose a multi-task extension called multi-task warped Gaussian process (MTWGP). Age estimation is formulated as a multi-task regression problem in which each learn...
Yu Zhang, Dit-Yan Yeung
Added 29 Sep 2010
Updated 29 Sep 2010
Type Conference
Year 2010
Where CVPR
Authors Yu Zhang, Dit-Yan Yeung
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