K-SVD
K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。
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K-SVD 热门资料
查看全部 500 份 →k-step ahead predictions determined by simulation of the ％ one-step ahead neural network predictor.
k-step ahead predictions determined by simulation of the ％ one-step ahead neural network predictor. For NNARMAX ％ mode...
2016-12-27
127
Convolutional binary rate 1/3 nonsystematic code Dfree=16 K=7 (trellis length = 8) Connection
Convolutional binary rate 1/3 nonsystematic code Dfree=16 K=7 (trellis length = 8) Connection vectors (from K. J....
2014-01-22
52
Determination of number of clusters in K-Means Clustering and Application in color image segmenta
Determination of number of clusters in K-Means Clustering and Application in color image segmenta
2013-12-05
173