DocumentCode
167370
Title
Intelligent searching algorithm for the weighted context modeling
Author
Min Chen ; Xue-min Cui ; Xue-ming Jia
Author_Institution
Inf. Security Coll., Yunnan Police Officer Acad., Kunming, China
fYear
2014
fDate
8-9 May 2014
Firstpage
67
Lastpage
69
Abstract
In this paper, the design objective of the proposed weighted context modeling algorithm aims to minimize the adaptive code length of the context model weighted. The relation between the weights and the model adaptive code length is discussed firstly. In order to search the optimal result, the intelligent searching algorithm is suggested to obtain the weights for the context modeling. Experiment results indicate the proposed algorithm could perform better results than the results by other predecessors.
Keywords
adaptive codes; optimisation; adaptive code length; intelligent searching algorithm; multivariant optimization algorithm; weighted context modeling; Adaptation models; Airplanes; Atmospheric modeling; Boats; Context modeling; Probability distribution; Adaptive code length; Context Modeling; Intelligent Searching;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location
Ottawa, ON
Type
conf
DOI
10.1109/IWECA.2014.6845558
Filename
6845558
Link To Document