Compared with Support Vector Machine (SVM), STM has superior generalization ability that can make full use of the structural information of data. However, it ...
Abstract—In recent years, tensor-based machine learning methods, in which the Support Tensor Machine (STM) is a typical technology,.
This survey introduces the basic knowledge of Tensor, including tensor operations, tensor decomposition, some tensor-based algorithms, and some applications ...
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The Advance of Support Tensor Machine. Yi Xiang Qian Jiang Jing He Xin Jin Liwen Wu Shaowen Yao. Published in: SERA (2018). Keyphrases.
Oct 22, 2024 · The experimental results show that the MK-STM has better performance than existing ensemble learning, supervised tensor learning and other ...
Apr 17, 2018 · We introduce a support tensor train machine (STTM) by replacing the rank-one tensor in an STM with a tensor train.
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In this paper, we propose a new classification algorithm called Support Tensor Machine (STM). STM uses. Tensor Space Model to represent documents. It considers ...
The experimental results show that KSTM has significant improvements over other related state-of-the-art classification methods, including vector based, matrix ...
We evaluated a KSTM-based classifier that uses 3D tumor images as input to predict distant failure in early stage NSCLC patients treated with SBRT.
A coupled support tensor machine (C‐STM) built upon the latent factors jointly estimated from the advanced coupled matrix–tensor factorization is proposed.