Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
Marcelo Bernardes Vieira, Paulo P. Martins Jr., Ar...
The lineage of a piece of data is of utility to a wide range of domains. Several application-specific extensions have been built to facilitate tracking the origin of the output th...
Virtualization is increasingly being used to address server management and administration issues like flexible resource allocation, service isolation and workload migration. In a...
Stephen T. Jones, Andrea C. Arpaci-Dusseau, Remzi ...
Abstract. While several powerful methods exist for automatically detecting symmetries in instances of constraint satisfaction problems (CSPs), current methods for detecting symmetr...