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pro vyhledávání: '"threshold parameter selection"'
Autor:
Mehmet Altan Toksöz, İlkay Ulusoy
Publikováno v:
IET Computer Vision, Vol 10, Iss 5, Pp 433-442 (2016)
The authors present a sparsity‐based algorithm, basic thresholding classifier (BTC), for classification applications which is capable of identifying test samples extremely rapidly and performing high classification accuracy. They introduce a suffic
Externí odkaz:
https://doaj.org/article/d96a14e05d3d49d8a853a2c45110270c