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Pattern recognition program is only as good as your test data set. Good data sets are hard to come by, that is why there is always errors in computer recognition. It is also why a small sample size can not describe the entire population. These professors are just stating the obvious. Anyone that is in the pattern recognition field knows better methods for recognition like multiple Gaussian or a combination of methods. To say that the entire methodology is worthless is a bold statement. As each method is tailored to a specific task. Prof. Gustafsson's issue is with the data set(s), there is nothing wrong with the methods. Can i have my 5 minutes back now.