15 citations · 55 across the 10 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.LG2017★ 1 cited
SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis
Dongjin Choi, Lee Sael
Motivation: How do we integratively analyze large-scale multi-platform genomic data that are high dimensional and sparse? Furthermore, how can we incorporate prior knowledge, such…
math.NA2017★ 10 cited
CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions
Jungwoo Lee, Dongjin Choi, Lee Sael
How can we find patterns and anomalies in a tensor, or multi-dimensional array, in an efficient and directly interpretable way? How can we do this in an online environment, where a…
math.NA2017★ 6 cited
Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization
Dongjin Choi, Jun-Gi Jang, U Kang
How can we capture the hidden properties from a tensor and a matrix data simultaneously in a fast, accurate, and scalable way? Coupled matrix-tensor factorization (CMTF) is a major…