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A novel LDA method for tongue images recognition (TIR) based on a combination of global features extracted by nonlinear kernel principal component analysis and local features derived by applying Gabor wavelets is discussed. It is well known that the distribution of tongue images is highly nonlinear under a large variation in viewpoints. Therefore, linear(More)
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