Sentence examples for pca dimension from inspiring English sources

We shastmapudimensionfect of the quantization on the number of overlaPCAdimension detands in Section 7.2.

(a) Classical PCA dimension reduction.

Next, we reduce the feature dimension by PCA dimension reduction.

As the iteration continues, the deviation of the rounded projection and the originaLetrojecthen will grow as the rounding error accumulates.

M=200 is a typical choice for PCA dimension of face images.

Then, the normalization and PCA dimension reduction may result in signal templates varying randomly rather than retaining regular geometry shapes.

From a given biohash of length 1024-bits and the corresponding secret key, we estimate the PCA feature vectors with four proposed methods, for PCA dimensions of 200 and 1024, respectively (Table 9).

Two different PCA dimensions (M=200 and M=1024) are used in this study.

The BIC was used to determine the number of PCA dimensions to retain.

There are no linear relationships between the distributions of pairs of mode scores since, by definition, PCA dimensions are orthogonal.

Because of their statistical independence, the PCA dimensions allowed us to highlight neural regions that are uniquely associated with each factor.