The increasing use of multiple sensors, which produce a large amount multi-dimensional data, requires efficient representation and classification methods. In this paper, we present new method for data that relies on two premises: (1) are usually represented by tensors, since brings benefits from multilinear algebra established tensor factorization methods; (2) can be described subspace vector s...