Age estimation based on improved discriminative Gaussian process latent variable model

doi:10.1007/s11042-015-2668-4

CASIA OpenIR > 投资企业

	Age estimation based on improved discriminative Gaussian process latent variable model
	Cai, Lijun; Huang, Lei; Liu, Changping
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
	2016-10-01
卷号	75 期号:19 页码:11977-11994
文章类型	Article
摘要	Affected by various factors (genes, living habits and so on), different people present distinct aging patterns. To discover the underlying trend of aging patterns, we propose an effective age estimation method based on DGPLVM (Discriminative Gaussian Process Latent Variable Model). DGPLVM is a kind of discriminative latent variable method for manifold learning. It discovers the low-dimensional manifold by employing a discriminative prior distribution over the latent space. DGPLVM with KFDA (Kernel Fisher Discriminant Analysis) prior has been studied and successfully applied to face verification. Different with face verification which is a two-class problem, age estimation is a linearly inseparable multi-class problem. In this paper, DGPLVM with KFDA is reformulated to get the low-dimensional representations for age estimation. After low-dimensional representations are obtained, Gaussian process regression model is adopted to find the age regressor mapping low-dimensional representations to ages. Experimental results on two widely used databases FG-NET and MORPH show that reformulated DGPLVM with KFDA is a good application in age estimation and achieves comparable results to state-of-the arts.
关键词	Age Estimation Discriminative Gaussian Process Latent Variable Model Kernel Fisher Discriminant Analysis Gaussian Process Regression
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s11042-015-2668-4
关键词[WOS]	REGRESSION ; FEATURES ; MANIFOLD
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000382678200022
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11586
专题	投资企业
作者单位	Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Cai, Lijun,Huang, Lei,Liu, Changping. Age estimation based on improved discriminative Gaussian process latent variable model[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2016,75(19):11977-11994.
APA	Cai, Lijun,Huang, Lei,&Liu, Changping.(2016).Age estimation based on improved discriminative Gaussian process latent variable model.MULTIMEDIA TOOLS AND APPLICATIONS,75(19),11977-11994.
MLA	Cai, Lijun,et al."Age estimation based on improved discriminative Gaussian process latent variable model".MULTIMEDIA TOOLS AND APPLICATIONS 75.19(2016):11977-11994.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Age estimation based（7271KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览