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m-SNE: Multiview Stochastic Neighbor Embedding
Xie, Bo1; Mu, Yang2; Tao, Dacheng3; Huang, Kaiqi4; Huang,Kaiqi
2011-08-01
发表期刊IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
卷号41期号:4页码:1088-1096
文章类型Article
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.
关键词Dimension Reduction Image Retrieval Multiview Learning Stochastic Neighbor Embedding
WOS标题词Science & Technology ; Technology
关键词[WOS]NONLINEAR DIMENSIONALITY REDUCTION ; CLASSIFICATION
收录类别SCI
语种英语
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000293708200017
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9743
专题智能感知与计算研究中心
通讯作者Huang,Kaiqi
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
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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,&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.
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