In this paper, we introduce a novel Flip INvariant Descriptor (FIND). FIND improves the degenerated performance resulted from image flips and reduces both space and time costs. F...
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
Modeling fluid flow in a porous medium is a challenging computational problem. It involves highly heterogeneous distributions of porous medium property, various fluid flow char...
Despite a large research effort, software distributed shared memory systems have not been widely used to run parallel applications across clusters of computers. The higher perform...
We propose an alternative interpretation of Bayesian surprise in the spatial domain, to account for saliency arising from contrast in image context. Our saliency formulation is in...
Ioannis Gkioulekas, Georgios Evangelopoulos, Petro...