2018
Tensor-Based Nonlinear Classifier for High-Order Data Analysis
Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Antonis Nikitakis, Athanasios Voulodimos
ICASSP 2018accepted
In this paper we propose a tensor-based nonlinear model for high-order data classification. The advantages of the proposed scheme are that (i) it significantly reduces the number of weight parameters, and hence of required training samples, and (ii) it retains the spatial structure of the input samp…