Abstract
This paper proposes a method for automatic labeling for incremental learning. In our method, an ESOINN (Enhanced Self-organizing Incremental Neural Network) and a counter propagation neural network are used. ESOINN is a neural network that copes with incremental learning. However, since the training of an ESOINN uses unsupervised learning, users have to label the input data based on the output of the ESOINN by hand. In our proposed method, output values of the ESOINN are used as input to the counter propagation neural network. The counter propagation neural network is trained by supervised learning. The desired output values of the counter propagation neural network are the label of the data that are corresponding to input to ESOINN. By using these neural networks, our method is able to label input data automatically. The proposed method was applied to two clustering problems: handwritten digit recognition and natural image recognition. In these applications, our method showed better performance for clustering and incremental learning than did an ESOINN alone.
