메뉴 건너뛰기




Volumn 70, Issue 4-6, 2007, Pages 912-921

2D-LPP: A two-dimensional extension of locality preserving projections

Author keywords

Dimensionality reduction; Linear projection; Locality preserving projection (LPP); Two dimensional projection

Indexed keywords

ALGEBRA; COMPUTER SIMULATION; DATABASE SYSTEMS; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; PROJECTION SYSTEMS; TWO DIMENSIONAL;

EID: 33846009099     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.10.032     Document Type: Article
Times cited : (181)

References (29)
  • 3
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin M., and Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput. 15 (2003) 1373-1396
    • (2003) Neural Comput. , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 58449105865 scopus 로고    scopus 로고
    • D. Cai, X.F. He, Orthogonal locality preserving indexing, in: ACM Conference on Information Retrieval (SIGIR), 2005, pp. 3-10.
  • 5
    • 27844508580 scopus 로고    scopus 로고
    • Class-information-incorporated principal component analysis
    • Chen S.C., and Sun T.K. Class-information-incorporated principal component analysis. Neurocomputing 69 (2005) 216-223
    • (2005) Neurocomputing , vol.69 , pp. 216-223
    • Chen, S.C.1    Sun, T.K.2
  • 6
    • 21744446928 scopus 로고    scopus 로고
    • Supervised kernel locality preserving projections for face recognition
    • Cheng J., Liu Q.S., Lu H.Q., and Chen Y.W. Supervised kernel locality preserving projections for face recognition. Neurocomputing 67 (2005) 443-449
    • (2005) Neurocomputing , vol.67 , pp. 443-449
    • Cheng, J.1    Liu, Q.S.2    Lu, H.Q.3    Chen, Y.W.4
  • 7
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster P., Laird N., and Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc.: Ser.-B 39 4 (1977) 1-38
    • (1977) J. R. Stat. Soc.: Ser.-B , vol.39 , Issue.4 , pp. 1-38
    • Dempster, P.1    Laird, N.2    Rubin, D.3
  • 9
    • 13444266062 scopus 로고    scopus 로고
    • X.F. He, Incremental semi-supervised subspace learning for image retrieval, in: Proceedings of the 12th Annual ACM International Conference on Multimedia, 2004, pp. 2-8.
  • 10
    • 8644230223 scopus 로고    scopus 로고
    • X.F. He, D. Cai, H.F. Liu, W.Y. Ma, Locality preserving indexing for document representation, in: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004, pp. 96-103.
  • 11
    • 33745881038 scopus 로고    scopus 로고
    • X.F. He, D. Cai, S.C. Yan, H.J. Zhang, Neighborhood preserving embedding, in: IEEE International Conference on Computer Vision (ICCV), 2005, pp. 1208-1213.
  • 12
    • 33846021775 scopus 로고    scopus 로고
    • X.F. He, P. Niyogi, Locality preserving projections, in: Proceedings of the Conference on Advances in Neural Information Processing Systems, 2003.
  • 15
    • 0242456238 scopus 로고    scopus 로고
    • Face recognition using the second-order mixture-of-eigenfaces method
    • Kim H.C., Kim D.J., Bang S.Y., and Lee S.Y. Face recognition using the second-order mixture-of-eigenfaces method. Pattern Recogn. 37 (2004) 337-349
    • (2004) Pattern Recogn. , vol.37 , pp. 337-349
    • Kim, H.C.1    Kim, D.J.2    Bang, S.Y.3    Lee, S.Y.4
  • 16
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee D.D., and Seung H.S. Learning the parts of objects by non-negative matrix factorization. Nature 401 (1999) 788-791
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 17
    • 14644408830 scopus 로고    scopus 로고
    • 2D-LDA: a statistical linear discriminant analysis for image matrix
    • Li M., and Yuan B. 2D-LDA: a statistical linear discriminant analysis for image matrix. Pattern Recogn. Lett. 26 5 (2005) 527-532
    • (2005) Pattern Recogn. Lett. , vol.26 , Issue.5 , pp. 527-532
    • Li, M.1    Yuan, B.2
  • 18
    • 24044455677 scopus 로고    scopus 로고
    • Image retrieval based on incremental subspace learning
    • Lu K., and He X.F. Image retrieval based on incremental subspace learning. Pattern Recogn. 38 (2005) 2047-2054
    • (2005) Pattern Recogn. , vol.38 , pp. 2047-2054
    • Lu, K.1    He, X.F.2
  • 20
    • 1542286524 scopus 로고    scopus 로고
    • Locality pursuit embedding
    • Min W.L., Lu K., and He X.F. Locality pursuit embedding. Pattern Recogn. 37 (2004) 781-788
    • (2004) Pattern Recogn. , vol.37 , pp. 781-788
    • Min, W.L.1    Lu, K.2    He, X.F.3
  • 21
    • 32544443317 scopus 로고    scopus 로고
    • 2FLD: an efficient approach for appearance based object recognition
    • 2FLD: an efficient approach for appearance based object recognition. Neurocomputing 69 (2006) 934-940
    • (2006) Neurocomputing , vol.69 , pp. 934-940
    • Nagabhushan, P.1    Guru, D.S.2    Shekar, B.H.3
  • 22
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S.T., and Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 290 (2000) 2323-2326
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 23
    • 15844395836 scopus 로고    scopus 로고
    • Adaptively weighted sub-pattern PCA for face recognition
    • Tan K.R., and Chen S.C. Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing 64 (2005) 505-511
    • (2005) Neurocomputing , vol.64 , pp. 505-511
    • Tan, K.R.1    Chen, S.C.2
  • 24
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum J.B., Silva V.D., and Langford J.C. A global geometric framework for nonlinear dimensionality reduction. Science 290 (2000) 2319-2323
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    Silva, V.D.2    Langford, J.C.3
  • 25
    • 0026384289 scopus 로고    scopus 로고
    • M. Turk, A.P. Pentland, Face recognition using eigenfaces, in: IEEE Conference on Computer Vision and Pattern Recognition, 1991, pp. 586-591.
  • 26
    • 14544297033 scopus 로고    scopus 로고
    • KPCA plus LDA: a complete kernel fisher discriminant framework for feature extraction and recognition
    • Yang J., Frangi A.F., Yang J.Y., and Zhang D. KPCA plus LDA: a complete kernel fisher discriminant framework for feature extraction and recognition. IEEE Trans. Pattern Anal. Mach. Intelligence 27 2 (2005) 230-244
    • (2005) IEEE Trans. Pattern Anal. Mach. Intelligence , vol.27 , Issue.2 , pp. 230-244
    • Yang, J.1    Frangi, A.F.2    Yang, J.Y.3    Zhang, D.4
  • 27
    • 0742268833 scopus 로고    scopus 로고
    • Two-dimensional PCA: a new approach to appearance-based face representation and recognition
    • Yang J., Zhang D., Frangi A.F., and Yang J.Y. Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans. Pattern Anal. Mach. Intelligence 26 1 (2004) 131-137
    • (2004) IEEE Trans. Pattern Anal. Mach. Intelligence , vol.26 , Issue.1 , pp. 131-137
    • Yang, J.1    Zhang, D.2    Frangi, A.F.3    Yang, J.Y.4
  • 28
    • 27844449908 scopus 로고    scopus 로고
    • 2PCA: two-directional two-dimensional PCA for efficient face representation and recognition
    • 2PCA: two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing 69 (2005) 224-231
    • (2005) Neurocomputing , vol.69 , pp. 224-231
    • Zhang, D.Q.1    Zhou, Z.H.2
  • 29
    • 13444260824 scopus 로고    scopus 로고
    • X. Zheng, D. Cai, X.F. He, W.Y. Ma, X.Y. Lin, Locality preserving clustering for image database, in: Proceedings of the 12th Annual ACM International Conference on Multimedia, 2004, pp. 885-891.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.