2 citations · 2 across the 2 of their papers we have counts for
4 papers
BUDD: Multi-modal Bayesian Updating Deforestation Detections
Alice M. S Durieux, Christopher X. Ren, Matthew T. Calef +2
The global phenomenon of forest degradation is a pressing issue with severe implications for climate stability and biodiversity protection. In this work we generate Bayesian updati…
Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery
Michael S. Warren, Samuel W. Skillman, Rick Chartrand +4
We present our experiences using cloud computing to support data-intensive analytics on satellite imagery for commercial applications. Drawing from our background in high-performan…
Robust Compressed Sensing and Sparse Coding with the Difference Map
Will Landecker, Rick Chartrand, Simon DeDeo
In compressed sensing, we wish to reconstruct a sparse signal from observed data . In sparse coding, on the other hand, we wish to find a representation of an observed signa…
High resolution image reconstruction with constrained, total-variation minimization
Emil Y. Sidky, Rick Chartrand, Yuval Duchin +2
This work is concerned with applying iterative image reconstruction, based on constrained total-variation minimization, to low-intensity X-ray CT systems that have a high sampling…