Publications Details
Parallel Tensor Decompositions for Massive Heterogeneous, Incomplete Data (Final Report: LDRD Project 199986)
We extended the fundamental capabilities of tensor decomposition to a broader range of problems - handling new data types and larger problems. This has implications for data analysis across a range of applications in sensor monitoring, cybersecurity, treaty verification, signal processing, etc. Identifies latent structure within data, enabling anomaly detection, process monitoring, scientific discovery.