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For the traditional online support vector machine classification algorithm based on the kernel function, the weight of the misclassified sample in the learning process of classification remains unchanged, which will inevitably affect the classification accuracy. This paper presents a Double Updating Online Support Vector Machine Learning Algorithm that can update the weight real-timely. According...
In many practical applications, it is difficult to obtain the complete sample set and the categories may be variable with time. This paper introduces an online incremental learning algorithm based on the nearest neighbor algorithm to increase model or category during the process of recognition. Calculating the matching degree between new input sample and model samples, the algorithm finds the best...
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