ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation

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.

Submitted to IEEE TPAMI