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I'm doing GMM classification in multidimentional space. I know that in my training data some class labels are wrong. I suspect the GMM parameters are not estimated precisely enough due to that. What are the methods and the theory behind label-error-robust GMM training? How can I detect and filter incorrectly assigned labels? |
