Abstract: A novel method, called support tensor machine based on nuclear norm of the tensor(STM-NNT) , is proposed
by the introduction of tensor nuclear norm, and corresponding algorithm is constructed for the efficient settlement of the classi- fying problem of tensor. The said method, by introducing a nuclear norm regular term thus to control the rank of weight ma- trix, saves us from over learning and thus to achieve the goal of sparse learning.