An Affinity Propagation Based method for Vector Quantization Codebook Design

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dc.creatorJiang, Wu
dc.creatorDing, Fei
dc.creatorXiang, Qiao-liang
dc.date2007-10-10
dc.date2007-10-11
dc.date.accessioned2026-07-07T08:35:28Z
dc.date.available2026-07-07T08:35:28Z
dc.descriptionIn this paper, we firstly modify a parameter in affinity propagation (AP) to improve its convergence ability, and then, we apply it to vector quantization (VQ) codebook design problem. In order to improve the quality of the resulted codebook, we combine the improved AP (IAP) with the conventional LBG algorithm to generate an effective algorithm call IAP-LBG. According to the experimental results, the proposed method not only enhances the convergence abilities but also is capable of providing higher-quality codebooks than conventional LBG method.
dc.descriptionIn this version we make some explaination about the network-support similarity
dc.identifierhttps://arxiv.org/abs/0710.2037
dc.identifierhttp://arxiv.org/abs/0710.2037
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/139759
dc.subjectComputer Vision and Pattern Recognition
dc.titleAn Affinity Propagation Based method for Vector Quantization Codebook Design
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