| Discriminative Orthogonal Neighborhood-Preserving Projections for Classification | |
| Zhang, Tianhao1; Huang, Kaiqi2; Li, Xuelong3; Yang, Jie1; Tao, Dacheng4,5,6,7; T. Zhang | |
| 2010-02-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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| ISSN | 1083–4419 |
| 卷号 | 40期号:1页码:253-263 |
| 摘要 | 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. |
| 文章类型 | Article |
| 关键词 | Classification Dimensionality Reduction Discriminative Orthogonal Neighborhood-preserving Projection (Donpp) Patch Alignment |
| 学科领域 | 信号与模式识别 |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TSMCB.2009.2027473 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | DIMENSIONALITY REDUCTION ; GEOMETRIC FRAMEWORK ; GAIT RECOGNITION ; IMAGE RETRIEVAL ; SUBSPACE |
| 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:000271440600023 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/8557 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | T. Zhang |
| 作者单位 | 1.Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 4.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 5.Univ London, London WC1E 7HX, England 6.Xidian Univ, Xian 710071, Peoples R China 7.Wuhan Univ, Wuhan 430070, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Tianhao,Huang, Kaiqi,Li, Xuelong,et al. Discriminative Orthogonal Neighborhood-Preserving Projections for Classification[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2010,40(1):253-263. |
| APA | Zhang, Tianhao,Huang, Kaiqi,Li, Xuelong,Yang, Jie,Tao, Dacheng,&T. Zhang.(2010).Discriminative Orthogonal Neighborhood-Preserving Projections for Classification.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,40(1),253-263. |
| MLA | Zhang, Tianhao,et al."Discriminative Orthogonal Neighborhood-Preserving Projections for Classification".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 40.1(2010):253-263. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Discriminative Ortho（1916KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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