Supervised Locally Linear Embedding in face recognition
Locally Linear Embedding (LLE), which has recently emerged as a powerful face feature descriptor, suffers from a limitation. That is class-specific information of data is lacked of during face analysis. Thus, we propose a supervised LLE technique, known as class-label Locally Linear Embedding (cLLE)...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2008
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| Online Access: | http://shdl.mmu.edu.my/2871/ |
| _version_ | 1848790172323282944 |
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| author | Ying Han, Pang Andrew Beng Jin, Teoh Eng Kiong, Wong Fazly Salleh, Abas |
| author_facet | Ying Han, Pang Andrew Beng Jin, Teoh Eng Kiong, Wong Fazly Salleh, Abas |
| author_sort | Ying Han, Pang |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Locally Linear Embedding (LLE), which has recently emerged as a powerful face feature descriptor, suffers from a limitation. That is class-specific information of data is lacked of during face analysis. Thus, we propose a supervised LLE technique, known as class-label Locally Linear Embedding (cLLE), to overcome the problem. cLLE is able to discover the nonlinearity of high-dimensional face data by minimizing the global reconstruction error of the set of all local neighbors in the data set. cLLE utilizes user class-specific information in neighborhoods selection and thus preserves the local neighborhoods. Since the locality preservation is correlated to the class discrimination, the proposed cLLE is expected superior to LLE in face recognition. Experimental results on three face databases: ORL, AR and Yale databases, demonstrate that the proposed technique obtains better recognition performance than PCA and LLE. |
| first_indexed | 2025-11-14T18:08:23Z |
| format | Conference or Workshop Item |
| id | mmu-2871 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:23Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-28712011-09-21T07:32:29Z http://shdl.mmu.edu.my/2871/ Supervised Locally Linear Embedding in face recognition Ying Han, Pang Andrew Beng Jin, Teoh Eng Kiong, Wong Fazly Salleh, Abas T Technology (General) QA75.5-76.95 Electronic computers. Computer science Locally Linear Embedding (LLE), which has recently emerged as a powerful face feature descriptor, suffers from a limitation. That is class-specific information of data is lacked of during face analysis. Thus, we propose a supervised LLE technique, known as class-label Locally Linear Embedding (cLLE), to overcome the problem. cLLE is able to discover the nonlinearity of high-dimensional face data by minimizing the global reconstruction error of the set of all local neighbors in the data set. cLLE utilizes user class-specific information in neighborhoods selection and thus preserves the local neighborhoods. Since the locality preservation is correlated to the class discrimination, the proposed cLLE is expected superior to LLE in face recognition. Experimental results on three face databases: ORL, AR and Yale databases, demonstrate that the proposed technique obtains better recognition performance than PCA and LLE. 2008-04 Conference or Workshop Item NonPeerReviewed Ying Han, Pang and Andrew Beng Jin, Teoh and Eng Kiong, Wong and Fazly Salleh, Abas (2008) Supervised Locally Linear Embedding in face recognition. In: International Symposium on Biometrics and Security Technologies, 23-24 APR 2008, Islamabad, PAKISTAN . http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=W2mchH3@hBF6CHEhMcN&page=91&doc=905 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Ying Han, Pang Andrew Beng Jin, Teoh Eng Kiong, Wong Fazly Salleh, Abas Supervised Locally Linear Embedding in face recognition |
| title | Supervised Locally Linear Embedding in face recognition |
| title_full | Supervised Locally Linear Embedding in face recognition |
| title_fullStr | Supervised Locally Linear Embedding in face recognition |
| title_full_unstemmed | Supervised Locally Linear Embedding in face recognition |
| title_short | Supervised Locally Linear Embedding in face recognition |
| title_sort | supervised locally linear embedding in face recognition |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2871/ http://shdl.mmu.edu.my/2871/ |