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Self-Modulating Nonparametric Event-Tensor Factorization
Tensor factorization is a fundamental framework to analyze high-order interactions in data.
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
On three challenging tasks, including Action Recognition in Videos, Image Captioning and Image Generation, BT-RNN outperforms TT-RNN and the standard RNN in terms of both prediction accuracy and convergence rate.
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