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- W2007164472 abstract "It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies the vector pattern and fails to work in the pattern represented with the second-order tensor. In this paper, we propose a novel DoubleMinOver classifier named STDoubleMinOver that can directly classify the second-order tensor pattern. Compared with the existing DoubleMinOver with only one weight w, the proposed STDoubleMinOver induces two weight vectors u and v so as to deal with the second-order tensor. The experiments here have demonstrated that the proposed STDoubleMinOver has a superior classification to the vectorized DoubleMinOver." @default.
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- W2007164472 date "2010-08-01" @default.
- W2007164472 modified "2023-09-27" @default.
- W2007164472 title "A novel DoubleMinOver classifier based On second-order tensor" @default.
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- W2007164472 doi "https://doi.org/10.1109/icnc.2010.5582980" @default.
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