venkatesh-atwostage-2002.pdf (380.45 kB)
A two stage vector quantization approach via self-organizing map
conference contribution
posted on 2002-01-01, 00:00 authored by L Xu, W Liu, Svetha VenkateshSvetha VenkateshIn this paper, a two-stage algorithm for vector quantization is proposed based on a self-organizing map (SOM) neural network. First, a conventional self-organizing map is modified to deal with dead codebooks in the learning process and is then used to obtain the codebook distribution structure for a given set of input data. Next, subblocks are classified based on the previous structure distribution with a prior criteria. Then, the conventional LBG algorithm is applied to these sub-blocks for data classification with initial values obtained via the SOM. Finally, extensive simulations illustrate that the proposed two-stage algorithm is very effective.
History
Event
International Conference on Signal Processing (6th : 2002 : Beijing, China)Pagination
913 - 916Publisher
IEEELocation
Beijing, ChinaPlace of publication
Piscataway, N. J.Publisher DOI
Start date
2002-08-26End date
2002-08-30ISBN-10
0780374886Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
2002, IEEEEditor/Contributor(s)
Y Baozong, T XiaofangTitle of proceedings
ICSP' 02 : 6th International Conference on Signal Processing proceedingsUsage metrics
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