ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 25 of its 100 references that are in the map. First posted on arXiv 28 Oct 2021.
Builds on
25 of 100 references.
References · 25
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13 more
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Citing papers per year: 2023: 1.
1 paper.