Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Tiling is a well known loop transformation used to reduce communication overhead in distributed memory machines. Although a lot of theoretical research has been done concerning th...
Georgios I. Goumas, Nikolaos Drosinos, Maria Athan...
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
We describe a hybrid algorithm that is designed to reconstruct a piecewise smooth surface mesh from noisy input. While denoising, our method simultaneously regularizes triangle me...
Prediction markets efficiently extract and aggregate the private information held by individuals about events and facts that can be publicly verified. However, facts such as the e...