Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions

by Andrzej Cichocki, Ivan Oseledets, Namgil Lee

Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structural richness. However, standard machine learning and data mining algorithms typically scale exponentially with data volume and complexity of cross-modal couplings - the so called curse of dimensionality - which is prohibitive to the analysis of such large-scale, multi-modal and multi-relational datasets...

• Format: Paperback
• Language: English
• ISBN: 1680832220
• ISBN13: 9781680832228
• Release Date: December 2016
• Publisher: Now Publishers
• Length: 196 Pages
• Weight: 0.62 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"