DocumentCode :
478120
Title :
Formulate Informed Initialization and Develop Customized Metrics for Prototypes of VQ
Author :
Li, Jie ; Dong, Yafeng ; You, Xiangyang ; Zhu, Baokui
Author_Institution :
Sch. of Mech. Eng., Nanjing Univ. of Sci. & Technol., Nanjing
Volume :
2
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
379
Lastpage :
383
Abstract :
This paper presents an algorithm of vector quantization (VQ) that is encoded with the informed initialization of prototypes and the employment of prototype-customized metrics, and the algorithm is named as IMVQ. IMVQ extracts points of significant meaning from dataset and derives the first population of prototypes based on them. It creates 1-vs-rest SVMs model and uses its decision functions to learn individual metric for each prototype. The prototype updating takes two fashions rather than a single manner that is used in classical VQ. Experiments are conducted on real datasets to check the quality of initial prototypes, customized metrics as well as IMVQ and show the fine performance of the proposed strategies and algorithm.
Keywords :
support vector machines; vector quantisation; 1-vs-rest SVM model; VQ; customized metrics; informed initialization; prototype-customized metrics; vector quantization; Concrete; Costs; Educational institutions; Electronic mail; Employment; Mechanical engineering; Military computing; Optimization methods; Prototypes; Vector quantization; SVM; Vector Quantization; prototype-customized metrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.328
Filename :
4667021
Link To Document :
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