Tensor networks for dimensionality reduction and large-scale optimization: part 2 applications and future perspectives

This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their appl...

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Detalles Bibliográficos
Autores principales: Cichocki, Andrzej, Lee, Namgil, Oseledets, Ivan, Phan, Anh Huy, Zhao, Qibin, Mandic, Danilo P
Lenguaje:eng
Publicado: Now Publishers 2017
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2762204

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