DocumentCode
3068000
Title
On data-driven histogram-based estimation for mutual information
Author
Silva, Jorge ; Narayanan, Shrikanth S.
Author_Institution
Dept. of Electr. Eng., Univ. of Chile, Santiago, Chile
fYear
2010
fDate
13-18 June 2010
Firstpage
1423
Lastpage
1427
Abstract
The problem of mutual information (MI) estimation based on data-dependent partition is addressed in this work. Sufficient conditions are stipulated on a histogram-based construction to guarantee a strong consistent estimate for the MI. The practical implications of this result are in the specification of a range of design parameters for two data-driven histogram-based approaches - statistically equivalent blocks and tree-structure vector quantizations - to yield density-free strongly consistent estimates for the MI.
Keywords
image coding; statistical analysis; vector quantisation; data-dependent partition; data-driven histogram-based estimation; mutual information estimation; tree-structure vector quantizations; Feature extraction; Image registration; Information theory; Mutual information; Probability; Q measurement; Random variables; Sufficient conditions; Vector quantization; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-7890-3
Electronic_ISBN
978-1-4244-7891-0
Type
conf
DOI
10.1109/ISIT.2010.5513635
Filename
5513635
Link To Document