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

11 April 2021

Konstantinos Makantasis

Alexandros Georgogiannis

Ioannis Georgoulas

Anastasios Doulamis

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

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Title
Common Mode Patterns for Supervised Tensor Subspace Learning Konstantinos Makantasis Anastasios Doulamis N. Doulamis A. Voulodimos 32 11 0 06 Feb 2019
Tensor-based Nonlinear Classifier for High-Order Data Analysis Konstantinos Makantasis Anastasios Doulamis N. Doulamis A. Nikitakis A. Voulodimos 44 22 0 15 Feb 2018
Expressive power of recurrent neural networks Valentin Khrulkov Alexander Novikov Ivan Oseledets 111 114 0 02 Nov 2017
Tensor-Based Classifiers for Hyperspectral Data Analysis Konstantinos Makantasis Anastasios Doulamis N. Doulamis A. Nikitakis 43 110 0 24 Sep 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 74 300 0 30 Aug 2017
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 112 148 0 26 Jul 2017
Tensor Fusion Network for Multimodal Sentiment Analysis Amir Zadeh Minghai Chen Soujanya Poria Min Zhang Louis-Philippe Morency 89 1,237 0 23 Jul 2017
Ultimate tensorization: compressing convolutional and FC layers alike T. Garipov D. Podoprikhin Alexander Novikov Dmitry Vetrov 76 191 0 10 Nov 2016
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 124 886 0 22 Sep 2015
On the Expressive Power of Deep Learning: A Tensor Analysis Nadav Cohen Or Sharir Amnon Shashua 83 472 0 16 Sep 2015
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data Guoxu Zhou Qibin Zhao Yu Zhang T. Adalı Shengli Xie A. Cichocki 86 183 0 29 Aug 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 77 886 0 19 Dec 2014