m-SNE: Multiview Stochastic Neighbor Embedding

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	m-SNE: Multiview Stochastic Neighbor Embedding
	Xie, Bo 1; Mu, Yang 2; Tao, Dacheng 3; Huang, Kaiqi4
刊名	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
	2011-08-01
卷号	41 期号:4 页码:1088-1096
关键词	Dimension reduction image retrieval multiview learning stochastic neighbor embedding
英文摘要	Dimension reduction has been widely used in real-world applications such as image retrieval and document classification. In many scenarios, different features (or multiview data) can be obtained, and how to duly utilize them is a challenge. It is not appropriate for the conventional concatenating strategy to arrange features of different views into a long vector. That is because each view has its specific statistical property and physical interpretation. Even worse, the performance of the concatenating strategy will deteriorate if some views are corrupted by noise. In this paper, we propose a multiview stochastic neighbor embedding (m-SNE) that systematically integrates heterogeneous features into a unified representation for subsequent processing based on a probabilistic framework. Compared with conventional strategies, our approach can automatically learn a combination coefficient for each view adapted to its contribution to the data embedding. This combination coefficient plays an important role in utilizing the complementary information in multiview data. Also, our algorithm for learning the combination coefficient converges at a rate of O(1/k(2)), which is the optimal rate for smooth problems. Experiments on synthetic and real data sets suggest the effectiveness and robustness of m-SNE for data visualization, image retrieval, object categorization, and scene recognition.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
研究领域[WOS]	Automation & Control Systems ; Computer Science
关键词[WOS]	NONLINEAR DIMENSIONALITY REDUCTION ; CLASSIFICATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000293708200017
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9743]
专题	自动化研究所_智能感知与计算研究中心
作者单位	1.Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China 2.Univ Massachusetts, Dept Comp Sci, Boston, MA 02125 USA 3.Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst, Fac Engn & Informat Technol, Sydney, NSW 2700, Australia 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Xie, Bo,Mu, Yang,Tao, Dacheng,et al. m-SNE: Multiview Stochastic Neighbor Embedding[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2011,41(4):1088-1096.
APA	Xie, Bo,Mu, Yang,Tao, Dacheng,&Huang, Kaiqi.(2011).m-SNE: Multiview Stochastic Neighbor Embedding.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,41(4),1088-1096.
MLA	Xie, Bo,et al."m-SNE: Multiview Stochastic Neighbor Embedding".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 41.4(2011):1088-1096.