17 citations · 28 across the 5 of their papers we have counts for
5 papers
Randomized Algorithms for Scientific Computing (RASC)
Aydin Buluc, Tamara G. Kolda, Stefan M. Wild +16
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office o…
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…
Outlier Detection for Text Data : An Extended Version
Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal +1
The problem of outlier detection is extremely challenging in many domains such as text, in which the attribute values are typically non-negative, and most values are zero. In such…
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization
Ramakrishnan Kannan, Grey Ballard, Haesun Park
Non-negative matrix factorization (NMF) is the problem of determining two non-negative low rank factors and , for the given input matrix , such that . NMF…
A High-Performance Parallel Algorithm for Nonnegative Matrix Factorization
Ramakrishnan Kannan, Grey Ballard, Haesun Park
Non-negative matrix factorization (NMF) is the problem of determining two non-negative low rank factors and , for the given input matrix , such that . NMF…