Sample generation method, classification model training method, recognition method and corresponding devices
A classification model and generation device technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high labor and time consumption, low efficiency of classification model training, small data processing, and improved training efficiency. , the effect of saving manpower and time
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[0050]When training the classification model, in the face of the problem that manual training of the classification model requires a lot of manpower and time, when performing data feature screening, some people have proposed a method of relying on a single feature of the model itself for data feature screening, for example, The VAR (Variance, variance threshold) method specifically includes: counting the variance of the samples, and removing the samples whose variance exceeds the VAR, so as to obtain samples for training the classification model. Since many samples do not necessarily conform to the normal distribution, the VAR method is likely to affect the quality of the samples, resulting in inaccurate classification models trained. For another example, the SVM (Support Vector Machine, feature vector machine) method is specifically: based on the spatial distance, the space is divided into two intervals, and the segmentation position is used as the benchmark to screen samples ...
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