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Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks.
Michele Alberti
Angela Botros
Narayan Schütz
Rolf Ingold
Marcus Liwicki
Mathias Seuret
Published in:
ICPR (2020)
Keyphrases
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convolutional neural networks
convolutional network
hyperspectral images
matrix representation
real time
neural network
singular value decomposition
low rank
linear algebra
coefficient matrix
artificial intelligence
information systems
probability distribution
similarity matrix
singular values
positive definite