Konstantinos Makantasis — accepted AI-conference papers

2019

Common Mode Patterns for Supervised Tensor Subspace Learning

Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos

ICASSP 2019accepted

In this work we propose a method for reducing the dimensionality of tensor objects in a binary classification framework. The proposed Common Mode Patterns method takes into consideration the labels' information, and ensures that tensor objects that belong to different classes do not share common fea…

Cited by 0 Source ↗Scholar ↗

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…

Cited by 0 Source ↗Scholar ↗