| Status | 已發表Published |
| Orthogonal isometric projection | |
| Zheng, Yali1; Tang, Yuan Yan1,2; Fang, Bin1; Zhang, Taiping1 | |
| 2012 | |
| Conference Name | 21st International Conference on Pattern Recognition, ICPR 2012 |
| Source Publication | Proceedings - International Conference on Pattern Recognition
 |
| Pages | 405-408 |
| Conference Date | 11 11, 2012 - 11 15, 2012 |
| Conference Place | Tsukuba, Japan |
| Author of Source | Institute of Electrical and Electronics Engineers Inc. |
| Abstract | In contrast with Isomap, which learns the low-dimension embedding, and solves problem under the classic Multi-dimension Scaling (MDS) framework, we propose a dimensionality reduction technique, called Orthogonal Isometric Projection (OIP), in this paper. We consider an explicit orthogonal linear projection by capturing the geodesic distance, which is able to handle new data straightforward, and leads to a standard eigenvalue problem. And we extend our method to Sparse Orthogonal Isometric Projection (SOIP), which can be solved efficiently using LARS. Numerical experiments are reported to demonstrate the performance of OIP by comparing with a few competing methods. © 2012 ICPR Org Committee. |
| Language | 英語English |
| Document Type | Conference paper |
| Collection | University of Macau |
| Affiliation | 1.Chongqing University, Chongqing, China; 2.University of Macau, China |
| Recommended Citation GB/T 7714 | Zheng, Yali,Tang, Yuan Yan,Fang, Bin,et al. Orthogonal isometric projection[C]. Institute of Electrical and Electronics Engineers Inc., 2012, 405-408. |
| APA | Zheng, Yali., Tang, Yuan Yan., Fang, Bin., & Zhang, Taiping (2012). Orthogonal isometric projection. Proceedings - International Conference on Pattern Recognition, 405-408. |
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