Unsupervised locally embedded clustering for automatic high-dimensional data labeling

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2007, Pages

  Fu, Yun ^a   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Dimensionality reduction; High dimensional data clustering; LEA; LEC; Manifold

Indexed keywords

AUTOMATION; CLASSIFIERS; CLUSTERING ALGORITHMS; LEARNING SYSTEMS; SENSOR DATA FUSION;

DATA CLUSTERING; LEA; LEC; LOCALLY EMBEDDED CLUSTERING; SENSORY DATA;

PATTERN RECOGNITION;

EID: 34547493902     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366865     Document Type: Conference Paper

References (19)

1. M. Belkin and P. Niyogi, "Laplacian Eigenmaps for Dimensionality Reduction and Data Representation", Neural Computation, vol. 15, no. 6, pp. 1373-1396, 2003.
2. C. Ding, "A Tutorial on Spectral Clustering,"ICML'04, 2004, http://crd.lbl.gov/cding/Spectral/notes.html
3. Y. Fu and T.S. Huang, Locally Linear Embedded Eigenspace Analysis, www.ifp.uiuc.edu/~yunfu2/papers/LEA-Yun05.pdf.
4. X.F. He and P. Niyogi, "Locality Preserving Projections", Proc. of NIPS'03, 2003.
5. X.F. He, D. Cai, S.C. Yan and H.J. Zhang, " Neighborhood Preserving Embedding", IEEE Conf. on ICCV'05, 2005.
6. J. Ham, D.D. Lee, S. Mika and B. Schölkopf,"A kernel View of the Dimensionality Reduction of Manifolds", ICML'04, 2004.
7. M. Polito and P. Perona, "Grouping and Dimensionality Reduction by Locally Linear Embedding", NIPS'01, 2001.
8. A.M. Martinez and A.C. Kak, "PCA versus LDA", IEEE Trans. on PAMI, vol. 23, no. 2, pp. 228-233, 2001.
9. D. Verma and M. Meila. "Comparison of Spectral Clustering Methods", http://www.ms.washington.edu/ spectral/, 2003.
10. S.T. Roweis and L.K. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding", Science, vol. 290, pp. 2323-2326, 2000.
11. D. de Ridder and R.P.W. Duin, Locally Linear Embedding for Classification, TR. PH-2002-01, Delft Uni. of Tech., 2002.
12. J.B. Tenenbaum, V.de Silva, and J.C. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction", Science, vol. 290, pp. 2319-2323, 2000.
13. K.Q. Weinberger and L.K. Saul, "Unsupervised Learning of Image Manifolds by Semidefinite Programming", IEEE Conf. on CVPR'04, vol. 2, pp. 988-995, 2004.
14. S.C. Yan, D. Xu, B.Y. Zhang and H.J. Zhang," Graph Embedding: A General Framework for Dimensionality Reduction", IEEE Conf. on CVPR'05, pp. 830-837, 2005.
15. A.Y. Ng, M.I. Jordan and Y. Weiss, "On Spectral Clustering: Analysis and An Algorithm", NIPS'01, 2001.
16. D.M.J. Tax and P. Juszczak, "Kernel Whitening for One-Class Classification", IJPRAI, vol.17, no.3, pp. 333-347, 2003.
17. Y. Weiss, "Segmentation using Eigenvectors: A Unifying View", IEEE Conf. on ICCV'99, pp. 975-982, 1999.
18. L. Zelnik-Manor and P. Perona, "Self-Tuning Spectral Cluster-ing", NIPS '04, 2004.
19. Z.H. Zeng, Y. Fu, G.I. Roisman. Z. Wen, Y.X. Hu, and T. S. Huang, "Spontaneous Emotional Facial Expression Detection", Journal of Multimedia (JMM), vol. 1, no. 5, pp. 1-8, 2006.