PLANC: Parallel Low Rank Approximation with Non-negativity Constraints

Srinivas Eswar, Koby Hayashi, Grey Ballard +3

We consider the problem of low-rank approximation of massive dense non-negative tensor data, for example to discover latent patterns in video and imaging applications. As the size…