9 results about "Tensor factorization" patented technology

Tensor factorization is a key subroutine in several recent algorithms for learning latent variable models using the method of moments. This general technique is applicable to a broad class of models, such as: However, techniques for factorizing tensors are not as well-developed as matrix factorization techniques.