Dimensionality reduction for semi-supervised face recognition

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3614, Issue PART II, 2005, Pages 1-10

  Du, Weiwei ^a   Inoue, Kohei ^a   Urahama, Kiichi ^a  

^a KYUSHU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DATA REDUCTION; LEARNING SYSTEMS; REGRESSION ANALYSIS; SPECTRUM ANALYSIS; THREE DIMENSIONAL;

DATA LABELING; DATUM; IMAGE DATA; SEMI-SUPERVISED FACE RECOGNITION;

FACE RECOGNITION;

EID: 26944466388     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Seeger, M.: Learning with labeled and unlabeled data. Tech. Reports, Edinburgh Univ. (2001)
2. Zhu, X., Ghahramani, Z., Lafferty, J.: Semi-supervised learning using Gaussian fields and harmonic functions. Proc. ICML-2003 (2003) 912-919
3. Zhou, D., Bousquet, O., Lal, T. N., Weston, J., Scholkopf, B.: Learning with local and global consistency. Proc. NIPS'03 (2003)
4. Ng, A. Y., Jordan, M. J., Weiss, Y.: On spectral clustering: Analysis and an algorithm. Proc. NIPS'01 (2001) 849-856
5. Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comp. 15 (2003) 1373-1396
6. Koren, Y.: On spectral graph drawing. Proc. COCOON'03 (2003) 496-508
7. Bengio, Y., Paiement, J.-F., Vincent, P.: Out-of-sample extensions for LLE, Isomap, MDS, eigenmaps, and spectral clustering. Proc. NIPS'03 (2003)
8. Dhillon, I. S., Modha, D. M.: Concept decompositions for large sparse text data using clustering. Mach. Learning 42 (2001) 143-175