Classification with the hybrid of manifold learning and gabor wavelet
文献类型：期刊论文
| 作者 | Zhang, Junping; Shen, Chao; Feng, Jufu; Wang, J; Yi, Z; Zurada, JM; Lu, BL; Yin, HJ |
| 刊名 | ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1
 |
| 出版日期 | 2006 |
| 卷号 | 3971页码:1346-1351 |
| 英文摘要 | While manifold learning algorithms can discover intrinsic low-dimensional manifold embedded in the high-dimensional Euclidean space, the discriminant ability of the low-dimensional subspaces obtained by the algorithms is often lower than those obtained by the conventional dimensionality reduction approaches. Furthermore, the original feature vectors may include redundancy such as high-order correlation which cannot be removed by manifold learning algorithms. To address the two problems, we first employ Gabor wavelet to remove intrinsic redundancies of images and obtain a set of over-completed feature vectors. Then a supervised manifold learning algorithm (ULLELDA) is applied to project Gabor-based data and out-of-the-samples into a common low-dimensional subspace. Experiments in two FERET face databases indicate that Gabors indeed help supervised manifold learning to remarkably improve the discriminant ability of low-dimensional subspaces. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | NONLINEAR DIMENSIONALITY REDUCTION |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000238112000200 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9347]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Fudan Univ, Dept Comp Sci & Engn, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China 2.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China 3.Peking Univ, Ctr Informat Sci, Natl Key Lab Machine Percept, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Junping,Shen, Chao,Feng, Jufu,et al. Classification with the hybrid of manifold learning and gabor wavelet[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1,2006,3971:1346-1351. |
| APA | Zhang, Junping.,Shen, Chao.,Feng, Jufu.,Wang, J.,Yi, Z.,...&Yin, HJ.(2006).Classification with the hybrid of manifold learning and gabor wavelet.ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1,3971,1346-1351. |
| MLA | Zhang, Junping,et al."Classification with the hybrid of manifold learning and gabor wavelet".ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1 3971(2006):1346-1351. |
入库方式： OAI收割
来源：自动化研究所
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