关键词:  , 向量, 迁移学习, 张量, 空间信息

Abstract:  Most of the existing transfer learning algorithms have been extersively studied based on the vector data.We may transfer a higher order tensor data into a vector-based data as input, and utilize the transfer learning algorithm for vector-based data in higher order tensor data analysis. However, this way will often result in the loss of tensor data’s space information and the curse of dimensionality problems, so it is necessary to study the transfer learning algorithm based on tensor data. In view of traditional vector-based transfer learning algorithm, this paper presents a transfer learning algorithm based on tensor data. This method makes us to directly use tensor data as an input. In this way we solve the above problems, but also improve the classification accuracy. Experiments show that our method can obtain higher classification accuracy compared with others.

Key words:  vector, transfer learning, tensor, space information