5 citations · 12 across the 6 of their papers we have counts for
Showing math.NAShow all
2 papers · 1 filter
math.NA2019★ 5 cited
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…
math.NA2018
Parallel Nonnegative CP Decomposition of Dense Tensors
Grey Ballard, Koby Hayashi, Ramakrishnan Kannan
The CP tensor decomposition is a low-rank approximation of a tensor. We present a distributed-memory parallel algorithm and implementation of an alternating optimization method for…