Corpus ID: 222090994

Ray-based classification framework for high-dimensional data

@article{Zwolak2020RaybasedCF,
  title={Ray-based classification framework for high-dimensional data},
  author={Justyna P. Zwolak and Sandesh S. Kalantre and T. McJunkin and Brian J. Weber and J. Taylor},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.00500}
}
  • Justyna P. Zwolak, Sandesh S. Kalantre, +2 authors J. Taylor
  • Published 2020
  • Computer Science, Physics, Mathematics
  • ArXiv
  • While classification of arbitrary structures in high dimensions may require complete quantitative information, for simple geometrical structures, low-dimensional qualitative information about the boundaries defining the structures can suffice. Rather than using dense, multi-dimensional data, we propose a deep neural network (DNN) classification framework that utilizes a minimal collection of one-dimensional representations, called \emph{rays}, to construct the "fingerprint" of the structure(s… CONTINUE READING
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