We present an algorithm designed for navigating around a performance that was filmed as a “casual” multi-view video collection: real-world footage captured on hand held camer...
Luca Ballan, Gabriel J. Brostow, Jens Puwein, Marc...
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
We describe a new suite of computational benchmarks that models applications featuring multiple levels of parallelism. Such parallelism is often available in realistic flow comput...
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
We study a capacity sizing problem in a service system that is modeled as a single-class queue with multiple servers and where customers may renege while waiting for service. A sa...
Achal Bassamboo, Ramandeep S. Randhawa, Assaf J. Z...