5 citations · 5 across the 3 of their papers we have counts for
7 papers
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification
Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos +3
An increasing number of emerging applications in data science and engineering are based on multidimensional and structurally rich data. The irregularities, however, of high-dimensi…
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification
Konstantinos Makantasis, Athanasios Voulodimos, Anastasios Doulamis +2
Recent advances in sensing technologies require the design and development of pattern recognition models capable of processing spatiotemporal data efficiently. In this study, we pr…
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles
Konstantinos Makantasis, Maria Kontorinaki, Ioannis Nikolos
In this work the problem of path planning for an autonomous vehicle that moves on a freeway is considered. The most common approaches that are used to address this problem are base…
A Deep Reinforcement Learning Driving Policy for Autonomous Road Vehicles
Konstantinos Makantasis, Maria Kontorinaki, Ioannis Nikolos
This work regards our preliminary investigation on the problem of path planning for autonomous vehicles that move on a freeway. We approach this problem by proposing a driving poli…
Common Mode Patterns for Supervised Tensor Subspace Learning
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +1
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 conside…
Tensor-based Nonlinear Classifier for High-Order Data Analysis
Konstantinos Makantasis, Anastasios Doulamis, Nikolaos Doulamis +2
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 o…