Robust Tensor Analysis with Non-Greedy L1-Norm Maximization
| dc.contributor.author | Zhao, Limei | |
| dc.contributor.author | Jia, Weimin | |
| dc.contributor.author | Wang, Rong | |
| dc.contributor.author | Yu, Qiang | |
| dc.coverage.issue | 1 | cs |
| dc.coverage.volume | 25 | cs |
| dc.date.accessioned | 2016-04-20T06:25:36Z | |
| dc.date.available | 2016-04-20T06:25:36Z | |
| dc.date.issued | 2016-04 | cs |
| dc.description.abstract | The L1-norm based tensor analysis (TPCA-L1) is recently proposed for dimensionality reduction and feature extraction. However, a greedy strategy was utilized for solving the L1-norm maximization problem, which makes it prone to being stuck in local solutions. In this paper, we propose a robust TPCA with non-greedy L1-norm maximization (TPCA-L1 non-greedy), in which all projection directions are optimized simultaneously. Experiments on several face databases demonstrate the effectiveness of the proposed method. | en |
| dc.format | text | cs |
| dc.format.extent | 200-207 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Radioengineering. 2016 vol. 25, č. 1, s. 200-207. ISSN 1210-2512 | cs |
| dc.identifier.doi | 10.13164/re.2016.0200 | en |
| dc.identifier.issn | 1210-2512 | |
| dc.identifier.uri | http://hdl.handle.net/11012/57928 | |
| dc.language.iso | en | cs |
| dc.publisher | Společnost pro radioelektronické inženýrství | cs |
| dc.relation.ispartof | Radioengineering | cs |
| dc.relation.uri | http://www.radioeng.cz/fulltexts/2016/16_01_0012_0017.pdf | cs |
| dc.rights | Creative Commons Attribution 3.0 Unported License | en |
| dc.rights.access | openAccess | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
| dc.subject | Principal component analysis (PCA) | en |
| dc.subject | TPCA | en |
| dc.subject | L1-norm | en |
| dc.subject | outliers | en |
| dc.subject | non-greedy strategy | en |
| dc.title | Robust Tensor Analysis with Non-Greedy L1-Norm Maximization | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 16_01_0200_0207.pdf
- Size:
- 275.19 KB
- Format:
- Adobe Portable Document Format
- Description: