Minimum description length vs. maximum likelihood in lossy data compression

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2004, Pages 461-

  Madiman, M ^a   Harrison, M ^a   Kontoyiannis, I ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE CODEBOOK; LOSSY DATA COMPRESSION; MINIMUM DESCRIPTION LENGTH; RATE-DISTORTION FUNCTION;

ALGORITHMS; APPROXIMATION THEORY; CODES (SYMBOLS); FUNCTIONS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

DATA COMPRESSION;

EID: 5144230874     PISSN: 21578097     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (1)

1. M. Harrison, I. Kontoyiannis, and M. Madiman. A Minimum Description Length principle in lossy data compression. Preprint, 2003.