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• W2347719368 abstract "Based on the stochastic gradient descent method,this paper proposes online support tensor machine(OSTM) algorithm for tensor classification. In OSTM,its input patterns are tensors which are collected one by one in a sequence. In order to maintain the natural structure and correlation in the original tensor data,and reduce training time and memory space,OSTM algorithm applies tensor rank-one decomposition to replace the original tensor and assist tensor inner computation. The experiments on thirteen tensor datasets show that compared with the online support vector machine,OSTM can provide a significant improvement in training speed with comparable test accuracy,especially for higher-order tensors." @default.
• W2347719368 created "2016-06-24" @default.
• W2347719368 creator A5046640540 @default.
• W2347719368 date "2013-01-01" @default.
• W2347719368 modified "2023-09-26" @default.
• W2347719368 title "Online Support Tensor Machine" @default.
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• W2347719368 hasPublicationYear "2013" @default.
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