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This paper proposes a novel L1-norm loss based twin support vector machine (L1LTSVM) classifier for binary recognition. In this L1LTSVM, each optimization problem simultaneously minimizes the L1-norm based losses for the two classes of points, which results in a different dual problem compared with twin support vector machine (TWSVM). Compared with TWSVM, the main advantages of this L1LTSVM classifier...
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