In this paper we propose an algorithm to classify tensor data. Our
methodology is built on recent studies about matrix classification with the
trace norm constrained weight matrix and the tensor trace norm. Similar to
matrix classification, the tensor classification is formulated as a convex
optimization problem which can be solved by using the off-the-shelf accelerated
proximal gradient (APG) method.