Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition
Figure 1
2-Dim dataset and its projections in the feature space onto the first two significant dimensions. (a) Two classes of data samples with two Gaussian distributions. (b) 2-Dim projection in the feature space for polynomial kernel with . (c) 2-Dim projection in the empirical feature space for Gaussian kernel with .
