Unsupervised classification via decision trees: An information-theoretic perspective

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

Volumn V, Issue , 2005, Pages

  Karakos, Damianos ^a   Khudanpur, Sanjeev ^a   Eisner, Jason ^a   Priebe, Carey E ^b  

^a Whiting School of Engineering   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; HEURISTIC METHODS; IMAGING SYSTEMS; INFORMATION THEORY; OPTIMIZATION; SPECTRUM ANALYSIS;

DECISION TREES; HIGH-DIMENSIONAL DATA; MULTI-SPECTRAL IMAGING; RECURSIVE CONSTRUCTION;

PATTERN RECOGNITION;

EID: 33646810119     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416495     Document Type: Conference Paper

References (8)

1. C.E.Priebe, D.J. Marchette, and D.M. Healy, "Integrated sensing and processing decision trees," IEEE Trans. on Pat. Anal. and Mach. Intel., vol. 26, no. 6, pp. 699-708, June 2004.
2. F. Jelinek, Stat. Methods for Speech Recognition, MIT Press, 1997.
3. C. Fraley and A.Raftery, "Mclust: Software for model-based cluster analysis," Jrnl on Class., vol. 16, pp. 297-306, 1999.
4. C. E. Priebe et al., "Iterative denoising for cross-corpus discovery," in Proc. 2004 International Symposium on Computational Statistics (COMPSTAT 2004), August 2004.
5. T. Cover and J. Thomas, Elements of Information Theory, John Wiley and Sons, 1991.
6. D. Karakos et al., "Information-theoretic aspects of iterative denoising," In preparation, December 2004.
7. P. A. Chou, "Optimal partitioning for classification and regression trees," IEEE Trans. on Pat. Anal. and Mach. Intel., vol. 13, no. 4, pp. 340-354, April 1991.
8. D. Yarowsky, "Unsupervised word sense disambiguation rivaling supervised methods," in P roc. 33rd Annual Meeting of the Assoc. for Comput. Ling., 1995, pp. 189-196.