580 citations · 864 across the 20 of their papers we have counts for
3 papers · 1 filter
Object shape error modelling and simulation during early design stage by morphing Gaussian Random Fields
Manoj Babu, Pasquale Franciosa, Prashanth Shekar +1
Geometric and dimensional variations in objects are caused by inevitable uncertainties in manufacturing processes and often lead to product quality issues. Failing to model the eff…
ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes
Prashant Shekhar, Beata Csatho, Tony Schenk +2
Modeling time series is a research focus in cryospheric sciences because of the complexity and multiscale nature of events of interest. Highly non-uniform sampling of measurements…
Hierarchical regularization networks for sparsification based learning on noisy datasets
Prashant Shekhar, Abani Patra
We propose a hierarchical learning strategy aimed at generating sparse representations and associated models for large noisy datasets. The hierarchy follows from approximation spac…