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Discriminative Orthogonal Neighborhood Preserving Projections for Classification
Tianhao Zhang2; Kaiqi Huang1; Xuelong Li3; Jie Yang2; Dacheng Tao4; Huang KQ(黄凯奇)
Source PublicationIEEE Transactions on Systems, Man and Cybernetics, Part: B
2010
Volume40Issue:1Pages:253-263
Abstract        ; Orthogonal neighborhood-preserving projection (ONPP) is a recently developed orthogonal linear algorithm for overcoming the out-of-sample problem existing in the well-known manifold learning algorithm, i.e., locally linear embedding. It has been shown that ONPP is a strong analyzer of high-dimensional data. However, when applied to classification problems in a supervised setting, ONPP only focuses on the intraclass geometrical information while ignores the interaction of samples from different classes. To enhance the performance of ONPP in classification, a new algorithm termed discriminative ONPP (DONPP) is proposed in this paper. DONPP 1) takes into account both intraclass and interclass geometries; 2) considers the neighborhood information of interclass relationships; and 3) follows the orthogonality property of ONPP. Furthermore, DONPP is extended to the semisupervised case, i.e., semisupervised DONPP (SDONPP). This uses unlabeled samples to improve the classification accuracy of the original DONPP. Empirical studies demonstrate the effectiveness of both DONPP and SDONPP.
KeywordClassification Classification Dimensionality Reduction
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12729
Collection智能感知与计算研究中心
Corresponding AuthorHuang KQ(黄凯奇)
Affiliation1.中国科学院自动化研究所
2.Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China
3.State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China
4.School of Computer Engineering, Nanyang Technological University, Singapore and University of London, London, UK and Xidian University, Xi'an, China and Wuhan University, Wuhan, China
Recommended Citation
GB/T 7714
Tianhao Zhang,Kaiqi Huang,Xuelong Li,et al. Discriminative Orthogonal Neighborhood Preserving Projections for Classification[J]. IEEE Transactions on Systems, Man and Cybernetics, Part: B,2010,40(1):253-263.
APA Tianhao Zhang,Kaiqi Huang,Xuelong Li,Jie Yang,Dacheng Tao,&黄凯奇.(2010).Discriminative Orthogonal Neighborhood Preserving Projections for Classification.IEEE Transactions on Systems, Man and Cybernetics, Part: B,40(1),253-263.
MLA Tianhao Zhang,et al."Discriminative Orthogonal Neighborhood Preserving Projections for Classification".IEEE Transactions on Systems, Man and Cybernetics, Part: B 40.1(2010):253-263.
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