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ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation
Published 28 Oct 2021 in cs.CV | (2110.14830v1)
Abstract: This work proposes an interpretable multi-view deep neural network architecture, namely optimal discriminant multi-view tensor convolutional network (ODMTCNet), by integrating statistical machine learning (SML) principles with the deep neural network (DNN) architecture.
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