Multiple Kernel Dimensionality Reduction via Ratio-Trace and Marginal Fisher Analysis

Figure 1

Comparison of two-dimensional embedded results obtained by different algorithms on the first 9 classes of PIE. (a) Projection of training data using supervised MKL-DR. (b) Projection of training data using supervised MKL-TR. (c) Projection of training data using supervised MKL-SRTR. (d) Projection of training data using MKL-MFA.

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(b)

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