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Volumn 61, Issue 1-4, 2004, Pages 421-427
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A novel training scheme for neural-network-based vector quantizers and its application in image compression
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Author keywords
Image compression; Neural gas network; Randomized sampling; Vector quantization
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Indexed keywords
GENETIC ALGORITHMS;
IMAGE CODING;
LEARNING SYSTEMS;
NATURAL GAS;
OPTIMIZATION;
VECTORS;
CODEBOOK DESIGN;
RANDOM SAMPLING;
VECTOR QUANTIZERS;
NEURAL NETWORKS;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
IMAGE ANALYSIS;
IMAGE QUALITY;
IMAGE RECONSTRUCTION;
MATHEMATICAL COMPUTING;
PRIORITY JOURNAL;
STATISTICS;
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EID: 10244241750
PISSN: 09252312
EISSN: None
Source Type: Journal
DOI: 10.1016/j.neucom.2004.03.013 Document Type: Article |
Times cited : (17)
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References (9)
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