A multi-task framework for metric learning with common subspace

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 模式分析与学习

	A multi-task framework for metric learning with common subspace
	Yang, Peipei; Huang, Kaizhu; Liu, Cheng-Lin
发表期刊	NEURAL COMPUTING & APPLICATIONS
	2013-06-01
卷号	22 期号:7-8 页码:1337-1347
文章类型	Article
摘要	Metric learning has been widely studied in machine learning due to its capability to improve the performance of various algorithms. Meanwhile, multi-task learning usually leads to better performance by exploiting the shared information across all tasks. In this paper, we propose a novel framework to make metric learning benefit from jointly training all tasks. Based on the assumption that discriminative information is retained in a common subspace for all tasks, our framework can be readily used to extend many current metric learning methods. In particular, we apply our framework on the widely used Large Margin Component Analysis (LMCA) and yield a new model called multi-task LMCA. It performs remarkably well compared to many competitive methods. Besides, this method is able to learn a low-rank metric directly, which effects as feature reduction and enables noise compression and low storage. A series of experiments demonstrate the superiority of our method against three other comparison algorithms on both synthetic and real data.
关键词	Multi-task Learning Metric Learning Low Rank Subspace
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000319769300010
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/173211/3082
专题	多模态人工智能系统全国重点实验室_模式分析与学习
通讯作者	Huang, Kaizhu
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Yang, Peipei,Huang, Kaizhu,Liu, Cheng-Lin. A multi-task framework for metric learning with common subspace[J]. NEURAL COMPUTING & APPLICATIONS,2013,22(7-8):1337-1347.
APA	Yang, Peipei,Huang, Kaizhu,&Liu, Cheng-Lin.(2013).A multi-task framework for metric learning with common subspace.NEURAL COMPUTING & APPLICATIONS,22(7-8),1337-1347.
MLA	Yang, Peipei,et al."A multi-task framework for metric learning with common subspace".NEURAL COMPUTING & APPLICATIONS 22.7-8(2013):1337-1347.

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