Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification

Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification

An increasing number of emerging applications in data science and engineering are based on multidimensional and structurally rich data. The irregularities, however, of high-dimensional data often compromise the effectiveness of standard machine learning algorithms. We hereby propose the Rank-<inl...

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Bibliographic Details
Main Authors: Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
High-order data processing
hyperspectral data classification
Rank-R FNN
tensor-based neural networks
Online Access:https://ieeexplore.ieee.org/document/9402813/

Internet

https://ieeexplore.ieee.org/document/9402813/

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