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Methods The dimensions of the rotator cuff insertions (subscapularis, supraspinatus, and infraspinatus) were measured on 10 fresh frozen cadaveric New Zealand white rabbit shoulders.
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In the kernel methods, the dimension of a kernel matrix is determined by the number of training samples instead of the dimension of input samples.
As shown in Figure 6, NW-Fisherfaces outperformed other methods over the dimensions below L - 1, where L is the number of individuals.
Therefore, we compared the following different methods over the dimensions 1 to 20 in Figure 10: GTR1DA, TR1DA, UMPCA, PCA, ICA, LDA, and regularized LDA.
In the mesh method, the dimension of the cell size in different levels of protection is determined using the rolling sphere method.
For the eigenphone method, the dimension (N) of the phone variation subspace was set to 100.
Compared with the optimum power allocation method, the proposed two-step method reduces the dimensions of the bisection search space while achieving essentially the same level of sum rate.
In top down methods, the desired dimensions are typically achieved by reducing the size of an object with larger dimensions in a mechanically controlled manner.
Thus, the PLS method transforms the dimensions of the individual structural parameters [97] into orthogonal dimensions that maximize covariance of the transformed dimensions with the activity state of the kinase.
This method reduced the dimensions of extracted features like partial least square to efficiently recognize positive and negative human samples based on the latent matrix.
In Method 2, the dimensions of the entire feature set are directly reduced based on a principle component analysis (PCA) [37] without feature selection.
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