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 :
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