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article · 2016

Classification with fuzzy hypermatrices

Annamária R. Várkonyi-Kóczy, Balázs Tusor, János T. Tóth

Cited by 2Abstract and details only

Abstract

This paper presents a novel classification method designed specifically for fast evaluation of problems with relatively low attribute quantities, such as image processing problems. The idea lies in the pre-calculation of fuzzy membership functions and their storage in an easily implementable structure. During the evaluation step the stored values can be accessed easily and quickly, making the processing of large quantities of data (like the pixels of images) significantly faster. A training algorithm is proposed and experimental results are shown to demonstrate the efficiency of the proposed technique.

Cite this paper

APA 7

Várkonyi-Kóczy, A. R., Tusor, B., & Tóth, J. T. (2016). Classification with fuzzy hypermatrices. https://doi.org/10.1109/i2mtc.2016.7520502

MLA 9

Várkonyi-Kóczy, Annamária R., et al. “Classification with fuzzy hypermatrices.” 2016, pp. 1–6, https://doi.org/10.1109/i2mtc.2016.7520502.

Chicago

Várkonyi-Kóczy, Annamária R., Balázs Tusor, and János T. Tóth. 2016. “Classification with fuzzy hypermatrices.” https://doi.org/10.1109/i2mtc.2016.7520502.

Harvard

Várkonyi-Kóczy, A.R., Tusor, B. and Tóth, J.T. (2016) ‘Classification with fuzzy hypermatrices’. Available at: https://doi.org/10.1109/i2mtc.2016.7520502.

BibTeX
@article{varkonyikoczy2016classification,
  title = {{Classification with fuzzy hypermatrices}},
  author = {Várkonyi-Kóczy, Annamária R. and Tusor, Balázs and Tóth, János T.},
  pages = {1--6},
  year = {2016},
  doi = {10.1109/i2mtc.2016.7520502}
}

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