Manifold learning of vector fields

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3971 LNCS, Issue , 2006, Pages 430-435

  Li, Hongyu ^a   Shen, I Fan ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; EMBEDDED SYSTEMS; IMAGE SEGMENTATION; VECTORS;

LOCALLY LINEAR EMBEDDING (LLE); SYNTHETIC DATA SETS; VECTOR DATA; VECTOR FIELD;

LEARNING SYSTEMS;

EID: 33745922852     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11759966_64     Document Type: Conference Paper

References (10)

1. Telea, A.C., Wijk, J.J.V.: Simplified representation of vector fields. In Ebert, D., Gross, M., Hamann, B., eds.: Proc. of IEEE Visualization 1999. (1999) 35-42
2. Heckel, B., Weber, G., Hamann, B., Joy, K.I.: Construction of vector field hierarchies. In: Proc. of IEEE Visualization 1999. (1999) 19-25
3. Garcke, H., Preusser, T., Rumpf, M., Telea, A., Weikard, U., Wijk, J.J.V: A phase field model for continuous clustering on vector fields. IEEE Trans. Visualization and Computer Graphics (2001) 230-241
4. Chen, J.L., Bai, Z., Hamann, B., Ligocki, T.J.: A normalized-cut algorithm for hierachical vector field data segmentation. In: Proc. of Visualization and Data Analysis 2003. (2003)
5. Li, H., Chen, W., Shen, I.F.: Segmentation of discrete vector fields. IEEE Transaction on Visualization and Computer Graphics (2006) (to appear).
6. Li, H., Chen, W., Shen, I.F.: Supervised learning for classification. In: FSKD (2). Volume 3614 of Lecture Notes in Computer Science. (2005) 49-57
7. Li, H., Shen, I.F.: Similarity measure for vector field learning. In: ISNN 2006. Lecture Notes in Computer Science (2006) (to appear).
8. Roweis, S., Saul, L.: Nonlinear dimension reduction by locally linear embedding. Science 290 (2000) 2323-2326
9. Borg, I., Groenen, P.: Modern Multidimensional Scaling. Springer-Verlag (1997)
10. Tipping, M.E., Bishop, C.: Mixtures of probabilistic principal component analyzers. Neural Computation 11 (1999) 443-482