Unsupervised Learning with Permuted Data

Proceedings, Twentieth International Conference on Machine Learning

Volumn 1, Issue , 2003, Pages 345-352

  Kirshner, Sergey ^a   Parise, Sridevi ^a   Smyth, Padhraic ^a  

^a Ringgold Standard Institution Informatics   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASTRONOMY; COMPUTATIONAL METHODS; DATA ACQUISITION; IMAGE ANALYSIS; INFORMATION ANALYSIS; ITERATIVE METHODS; LEARNING ALGORITHMS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; VECTORS;

DOMAIN-SPECIFIC INFORMATION; GALACTIC STUCTURE; RANDOM TRIANGLE MODEL;

LEARNING SYSTEMS;

EID: 1942420851     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Duda, R. O., Hart, P. E., & Stork, D. G. (2000). Pattern Classification. New York: John Wiley & Sons. Second edition.
2. Frey, B. J., & Jojic, N. (2003). Transformationinvariant clustering using the EM algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 1-17.
3. Gold, S., Lu, C. P., Rangarajan, A., Pappu, S., & Mjolsness, E. (1995). New algorithms for 2D and 3D point matching: Pose estimation and correspondence. Advances in Neural Information Processing Systems (pp. 957-964). The MIT Press.
4. Kirshner, S., Cadez, I. V., Smyth, P., & Kamath, C. (2003a). Learning to classify galaxy shapes using the EM algorithm. Advances in Neural Information Processing Systems 15. MIT Press.
5. Kirshner, S., Parise, S., & Smyth, P. (2003b). Unsupervised learning with permuted data (Technical Report ICS TR-03-03). University of California Irvine. http://www.datalab.uci.edu.
6. McCallum, A., Nigam, K., Rennie, J., & Seymore, K. (2000). Automating the construction of internet portals with machine learning. Information Retrieval, 3, 127-163.