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Data Compression Conference (DCC'06)
Snowbird, Utah
March 28-March 30
ISBN: 0-7695-2545-8
ASCII Text
x 
 
Ethan R. Duni, Bhaskar D. Rao, "High-Rate Training of Gaussian Mixture Vector Quantizers," Data Compression Conference, pp. 445, Data Compression Conference (DCC'06), 2006.
 
 
BibTex
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@article{ 10.1109/DCC.2006.39,
author = {Ethan R. Duni and Bhaskar D. Rao},
title = {High-Rate Training of Gaussian Mixture Vector Quantizers},
journal ={Data Compression Conference},
volume = {0},
year = {2006},
issn = {1068-0314},
pages = {445},
doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2006.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Compression Conference
TI - High-Rate Training of Gaussian Mixture Vector Quantizers
SN - 1068-0314
SP
EP
A1 - Ethan R. Duni,
A1 - Bhaskar D. Rao,
PY - 2006
KW - null
VL - 0
JA - Data Compression Conference
ER -
 
Ethan R. Duni, University of California, San Diego
Bhaskar D. Rao, University of California, San Diego
This paper discusses the design of fixed-rate Gaussian Mixture Vector Quantizers (GMVQs) under input-weighted squared error distortion measures of the form d(x_1, x_2) = (x_1 -x_2)^T_S(x_1)(x1 -x2). The goal is to select the system parameters so as to minimize the expected high-rate distortion.
Citation:
Ethan R. Duni, Bhaskar D. Rao, "High-Rate Training of Gaussian Mixture Vector Quantizers," dcc, pp.445, Data Compression Conference (DCC'06), 2006
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