Principal Tensor Embedding for Unsupervised Tensor Learning

Principal Tensor Embedding for Unsupervised Tensor Learning

Tensors and multiway analysis aim to explore the relationships between the variables used to represent the data and find a summarization of the data with models of reduced dimensionality. However, although in this context a great attention was devoted to this problem, dimension reduction of high-ord...

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Bibliographic Details
Main Authors: Claudio Turchetti, Laura Falaschetti, Lorenzo Manoni
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Manifold learning
multiway analysis
nonlinear dimensionality reduction
tensor
tensor learning
unsupervised learning
Online Access:https://ieeexplore.ieee.org/document/9294003/

Internet

https://ieeexplore.ieee.org/document/9294003/

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