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Ensemble-based discriminant manifold learning for face recognition
Zhang, Junping; He, Li; Zhou, Zhi-Hua; Jiao, L; Wang, L; Gao, X; Liu, J; Wu, F
AbstractThe locally linear embedding (LLE) algorithm can be used to discover a low-dimensional subspace from face manifolds. However, it does not mean that a good accuracy can be obtained when classifiers work under the subspace. Based on the proposed ULLELDA (Unified LLE and linear discriminant analysis) algorithm, an ensemble version of the ULLELDA (En-ULLELDA) is proposed by perturbing the neighbor factors of the LLE algorithm. Here many component learners are generated, each of which produces a single face subspace through some neighborhood parameter of the ULLELDA algorithm and is trained by a classifier. The classification results of these component learners are then combined through majority voting to produce the final prediction. Experiments on several face databases show the promising of the En-ULLELDA algorithm.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000241891600005
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Fudan Univ, Dept Comp Sci & Engn, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
2.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Inst Automat, Beijing 100080, Peoples R China
3.Nanjing Univ, Natl Lab Novel Software Technol, Nanjing 210093, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Junping,He, Li,Zhou, Zhi-Hua,et al. Ensemble-based discriminant manifold learning for face recognition[J]. ADVANCES IN NATURAL COMPUTATION, PT 1,2006,4221:29-38.
APA Zhang, Junping.,He, Li.,Zhou, Zhi-Hua.,Jiao, L.,Wang, L.,...&Wu, F.(2006).Ensemble-based discriminant manifold learning for face recognition.ADVANCES IN NATURAL COMPUTATION, PT 1,4221,29-38.
MLA Zhang, Junping,et al."Ensemble-based discriminant manifold learning for face recognition".ADVANCES IN NATURAL COMPUTATION, PT 1 4221(2006):29-38.
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