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  1. FaceDe

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  2. 基于支持向量聚类的多聚焦图像融合算法. 从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于 SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.-Based on support vector clustering algorithm for multi-focus image fusion. Never oversig
  3. 所属分类:Development Research

    • 发布日期:2017-04-05
    • 文件大小:834.47kb
    • 提供者:pzy
  1. 859398

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  2. Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
  3. 所属分类:Development Research

    • 发布日期:2017-12-10
    • 文件大小:486.47kb
    • 提供者:sanjay
  1. Classificationofhyper_magebasedonBEMD

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  2. Abstract : As a powerful tool for image processing ,bi-dimensional empirical mode decomposition ( BEMD) covers a wide range of applications. In this paper ,we explore a novel hyperspectral classification algorithm which integrates BEMD and s
  3. 所属分类:Development Research

    • 发布日期:2017-11-27
    • 文件大小:348.21kb
    • 提供者:刘国华
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