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A genetic approach to color image compression
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Source Symposium on Applied Computing archive
Proceedings of the 1997 ACM symposium on Applied computing table of contents
San Jose, California, United States
Pages: 252 - 256  
Year of Publication: 1997
ISBN:0-89791-850-9
Authors
Harald Feiel  Bowling Green State University, Department of Computer Science, Bowling Green, Ohio
Sub Ramakrishnan  Bowling Green State University, Department of Computer Science, Bowling Green, Ohio
Sponsors
SIGCUE: ACM Special Interest Group on Computer Uses In Education
SIGADA: ACM Special Interest Group on Ada Programming Language
SIGAPP: ACM Special Interest Group on Applied Computing
SIGBIO: ACM Special Interest Group on Biomedical Computing
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Davis, L., Steenstrup, M. (1987). Genetic Algorithms and Simulated Annealing: An Overview. Genetic Algorithms and Simulated Annealing (Edited by: L. Davis). Los Altos, CA: Morgan Kaufman Publishers.
 
2
Equitz, W. H. (1989). A new Vector Quantization Clustering Algorithm. IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 1568-1575.
 
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5
Gray, R. M. (1984). Vector Quantization. IEEE ASSP Magazine, 1, 4-29.
 
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Holland, J. H. (1973) Genetic Algorithm and the Optimal Allocation of Trials. SiAM Journal of Computing, 2, 88-105.
 
8
Linde, Y., Buzo, A., Gray, R. (1980). An Algorithm for Vector Quantizer Design. IEEE Transactions on Communications, COM-28, 84-95.
 
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10
Thede, L., Kwatra, S. (1989). Image Sequence Coding by vector Quantization. Proceedings ICASSP, 10, 1909-1012.

Collaborative Colleagues:
Harald Feiel: colleagues
Sub Ramakrishnan: colleagues