Research Article
Tensorial Kernel Principal Component Analysis for Action Recognition
Table 2
List of important notations.
| Notation | Description |
| | The th input tensor sample, | | The projection of on | | The projection on eigenvector | | The mode- matricization of | | The mode- matricization of th tensor sample | | The vectorization of | | The th projection matrix | | The orthonormal base matrix of | | The Gram or Kernel Matrix | | The number of training samples | | The order of a tensor object, the number of indices/modes | | The -mode dimensionality in the projected space or the number of dominant eigenvectors | | The number of most discriminative components of | | The map from vector to RKHS | | The map from tensor to HSF |
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