Independent Component Analysis Based on Information Bottleneck
| dc.contributor.author | Ke, Qiao | |
| dc.contributor.author | Zhang, Jiangshe | |
| dc.contributor.author | Srivastava, Hari M. | |
| dc.contributor.author | Wei, Wei | |
| dc.contributor.author | Chen, Guang-Sheng | |
| dc.date.accessioned | 2017-10-23T17:57:15Z | |
| dc.date.available | 2017-10-23T17:57:15Z | |
| dc.date.copyright | 2015 | en_US |
| dc.date.issued | 2015 | |
| dc.description.abstract | The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). In the viewpoint of information theory, we attempt to explain the two classical algorithms of ICA by information bottleneck. Furthermore, via the numerical experiments with the synthetic data, sonic data, and image, ICA is proved to be an edificatory way to solve BSS successfully relying on the information theory. Finally, two realistic numerical experiments are conducted via FastICA in order to illustrate the efficiency and practicality of the algorithm as well as the drawbacks in the process of the recovery images the mixing images. | en_US |
| dc.description.reviewstatus | Reviewed | en_US |
| dc.description.scholarlevel | Faculty | en_US |
| dc.description.sponsorship | This investigation was supported by National Basic Research Program of China (973 Program) under Grant no. 2013CB329404, the Major Research Project of the National Natural Science Foundation of China under Grant no. 912300101, the National Natural Science Foundation of China under Grant no. 61075006, the Key Project of the National Natural Science Foundation of China under Grant no. 111311006, the Scientific Research Program Funded by Shaanxi Provincial Education Department (Program no. 2013JK1139), the China Postdoctoral Science Foundation (no. 2013M542370), and the Specialized Research Fund for the Doctoral Program of Higher Education of the People’s Republic of China (Grant no. 20136118120010). | en_US |
| dc.identifier.citation | Ke, Q., Zhang, J., Srivastava, H.M., Wei, W., & Chen, G. (2015). Independent component analysis based on information bottleneck. Abstract and Applied Analysis, Vol. 2015, 8 pages. Article ID 386201. | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1155/2015/386201 | |
| dc.identifier.uri | http://hdl.handle.net/1828/8716 | |
| dc.language.iso | en | en_US |
| dc.publisher | Abstract and Applied Analysis | en_US |
| dc.title | Independent Component Analysis Based on Information Bottleneck | en_US |
| dc.type | Article | en_US |