2 citations · 2 across the 1 of their papers we have counts for
3 papers
math.NA2020★ 2 cited
An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization
Delin Chu, Wenya Shi, Srinivas Eswar +1
Nonnegative matrix factorization (NMF) is a prominent technique for data dimensionality reduction that has been widely used for text mining, computer vision, pattern discovery, and…
math.NA2019
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…
cs.DC2018
Programming Strategies for Irregular Algorithms on the Emu Chick
Eric Hein, Srinivas Eswar, Abdurrahman Yaşar +7
The Emu Chick prototype implements migratory memory-side processing in a novel hardware system. Rather than transferring large amounts of data across the system interconnect, the E…