Incremental Matrix-Based Subspace Method for Matrix-Based Feature Extraction

Figure 4

The spatial feature extracted for digit “3” in MNIST data. The first row: ten random samples; the second row: results of the proposed method by column-lifted IMKPCA; the third row: results of row-lifted IMKPCA for the second row; input: image matrix of size ; output: feature matrix of size .