<ul><li>Multiscale Tensor Summation Factorization (MTS) is introduced as a new neural network layer for multidimensional data processing.</li><li>MTS performs tensor summation at multiple scales using Tucker-decomposition-like mode products.</li><li>It reduces the number of parameters required and enhances the efficiency of weight optimization compared to traditional dense layers.</li><li>MTS demonstrates advantages over convolutional layers and shows effectiveness in various tasks, such as classification, compression, and signal restoration.</li></ul>

Multiscale Tensor Summation Factorization as a New Neural Network Layer (MTS Layer) for Multidimensional Data Processing

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