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  1. lorenz_ext

    1下载:
  2. m为嵌入空间维数 tau为时间延迟 data为输入时间序列 N为时间序列长度 X为输出,是m*M维矩阵- M for the embedding space dimension tau is the time delay for the input data time series N for the time series length of X to output, is m* M-dimensional matrix
  3. 所属分类:Windows Develop

    • 发布日期:2017-03-28
    • 文件大小:684
    • 提供者:allanchou
  1. 2012--Improving-the-embedding-efficiency-of-weigh

    0下载:
  2. Improving the embedding efficiency of weight matrix-based steganography for grayscale images
  3. 所属分类:Communication

    • 发布日期:2017-10-31
    • 文件大小:634822
    • 提供者:Ahmed
  1. LGME

    0下载:
  2. input: param: parameters of the LMGE algorithm param.mu, param.alpha, param.beta are regularization parameters. param.p: dimension of shared subspace param.k: number of nearest neighbors for Laplacian matrix X: input data Y: ground
  3. 所属分类:Other systems

    • 发布日期:2017-11-06
    • 文件大小:1405
    • 提供者:Arron
  1. icml2010-code(2)

    0下载:
  2. Power Iteration Clustering projection Input: W - row-normalized affinity matrix v0 - starting vector conv - convergence threshold maxit - maximum number of iterations Output: vt - 1-d PIC embedding i - iterations ran
  3. 所属分类:Windows Develop

    • 发布日期:2017-04-15
    • 文件大小:10127
    • 提供者:daniel
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