Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold
文献类型：期刊论文
| 作者 | Jia Kui; Sun Lin; Gao Shenghua; Song Zhan; Shi Bertram E. |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2015 |
| 英文摘要 | A key factor contributing to the success of many auto-encoders based deep learning techniques is the implicit consideration of the underlying data manifold in their training criteria. In this paper, we aim to make this consideration more explicit by training auto-encoders completely from the manifold learning perspective. We propose a novel unsupervised manifold learning method termed Laplacian Auto-Encoders (LAEs). Starting from a general regularized function learning framework, LAE regularizes training of auto-encoders so that the learned encoding function has the locality-preserving property for data points on the manifold. By exploiting the analog relation between the graph Laplacian and the Laplace-Beltrami operator on the continuous manifold, we derive discrete approximations of the first- and higher-order auto-encoder regularizers that can be applied in practical scenarios, where only data points sampled from the distribution on the manifold are available. Our proposed LAE has potentially better generalization capability, due to its explicit respect of the underlying data manifold. Extensive experiments on benchmark visual classification datasets show that LAE consistently outperforms alternative auto-encoders recently proposed in deep learning literature, especially when training samples are relatively scarce: (C) 2015 Elsevier B.V. All rights reserved |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S0925231215001721 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6690]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | NEUROCOMPUTING |
| 推荐引用方式 GB/T 7714 | Jia Kui,Sun Lin,Gao Shenghua,et al. Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold[J]. NEUROCOMPUTING,2015. |
| APA | Jia Kui,Sun Lin,Gao Shenghua,Song Zhan,&Shi Bertram E..(2015).Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold.NEUROCOMPUTING. |
| MLA | Jia Kui,et al."Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold".NEUROCOMPUTING (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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