• Corpus ID: 244800775

HOTTBOX: Higher Order Tensor ToolBOX

@article{Kisil2021HOTTBOXHO,
  title={HOTTBOX: Higher Order Tensor ToolBOX},
  author={Ilya Kisil and Giuseppe Giovanni Calvi and Bruno Scalzo Dees and Danilo P. Mandic},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.15662}
}
HOTTBOX is a Python library for exploratory analysis and visualisation of multi-dimensional arrays of data, also known as tensors. The library includes methods ranging from standard multi-way operations and data manipulation through to multi-linear algebra based tensor decompositions. HOTTBOX also comprises sophisticated algorithms for generalised multi-linear classification and data fusion, such as Support Tensor Machine (STM) and Tensor Ensemble Learning (TEL). For user convenience, HOTTBOX… 
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Tensor Decompositions in Deep Learning
TLDR
The topic of tensor decompositions in modern machine learning applications is surveyed and how tensor methods can be leveraged to yield richer adaptive representations of complex data, including structured information is discussed.

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