no code implementations • 2 Oct 2015 • Abhinav V. Sambasivan, Jarvis D. Haupt
This paper examines fundamental error characteristics for a general class of matrix completion problems, where the matrix of interest is a product of two a priori unknown matrices, one of which is sparse, and the observations are noisy.
no code implementations • 11 May 2014 • Jeffrey M. Druce, Jarvis D. Haupt, Stefano Gonella
This paper proposes a strategy for the detection and triangulation of structural anomalies in solid media.
no code implementations • 19 Jul 2013 • Stefano Gonella, Jarvis D. Haupt
This work proposes an agnostic inference strategy for material diagnostics, conceived within the context of laser-based non-destructive evaluation methods, which extract information about structural anomalies from the analysis of acoustic wavefields measured on the structure's surface by means of a scanning laser interferometer.
no code implementations • 3 Dec 2012 • Sirisha Rambhatla, Jarvis D. Haupt
This work examines a semi-blind single-channel source separation problem.