Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions

@article{Cichocki2014EraOB,
  title={Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions},
  author={Andrzej Cichocki},
  journal={CoRR},
  year={2014},
  volume={abs/1403.2048}
}
Many problems in computational neuroscience, neuroinformatics, pattern/image recognition, signal processing and machine learning generate massive amounts of multidimensional data with multiple aspects and high dimensionality. Tensors (i.e., multi-way arrays) provide often a natural and compact representation for such massive multidimensional data via suitable low-rank approximations. Big data analytics require novel technologies to efficiently process huge datasets within tolerable elapsed… CONTINUE READING
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Multiway Component Analysis: Tensor Decompositions for Signal Processing Applications

  • A. Cichocki, D. Mandic, +4 authors L. D. Lathauwer
  • (in print), 2013.
  • 2013
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12 Excerpts

Tensor Spaces and Numerical Tensor Calculus, ser. Springer series in computational mathematics

  • W. Hackbusch
  • 2012
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4 Excerpts

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