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Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design

The performance of signal processing systems based on vector quantization depends on codebook design. In the image compression scenario, the quality of the reconstructed images depends on the codebooks used. In this paper, alternatives are proposed for accelerating families of fuzzy K-means algorith...

詳細記述

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Mata, Edson, Bandeira, Silvio, de Mattos Neto, Paulo, Lopes, Waslon, Madeiro, Francisco
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5134622/
https://ncbi.nlm.nih.gov/pubmed/27886061
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16111963
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