Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks - researchr publication authors

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Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret. Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. In 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021. pages 8204-8211, IEEE, 2020. [doi]

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