A Distributed Approach Toward Discriminative Distance Metric Learning

	A Distributed Approach Toward Discriminative Distance Metric Learning
	Jun Li; Xun Lin; Xiaoguang Rui; Yong Rui; Dacheng Tao
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2015
英文摘要	Distance metric learning (DML) is successful in discovering intrinsic relations in data. However, most algorithms are computationally demanding when the problem size becomes large. In this paper, we propose a discriminative metric learning algorithm, develop a distributed scheme learning metrics on moderate-sized subsets of data, and aggregate the results into a global solution. The technique leverages the power of parallel computation. The algorithm of the aggregated DML (ADML) scales well with the data size and can be controlled by the partition. We theoretically analyze and provide bounds for the error induced by the distributed treatment. We have conducted experimental evaluation of the ADML, both on specially designed tests and on practical image annotation tasks. Those tests have shown that the ADML achieves the state-of-the-art performance at only a fraction of the cost incurred by most existing methods.
收录类别	SCI
原文出处	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6987269&tag=1
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/9166]
专题	深圳先进技术研究院_其他
作者单位	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
推荐引用方式 GB/T 7714	Jun Li,Xun Lin,Xiaoguang Rui,et al. A Distributed Approach Toward Discriminative Distance Metric Learning[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2015.
APA	Jun Li,Xun Lin,Xiaoguang Rui,Yong Rui,&Dacheng Tao.(2015).A Distributed Approach Toward Discriminative Distance Metric Learning.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS.
MLA	Jun Li,et al."A Distributed Approach Toward Discriminative Distance Metric Learning".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015).