We present a method for improved release of whole-hand virtual grasps. It addresses the problem of objects “sticking” during release after the user’s (real) fingers interpen...
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Abstract—Many important real-world systems, modeled naturally as complex networks, have heterogeneous interactions and complicated dependency structures. Link prediction in such ...
Darcy A. Davis, Ryan Lichtenwalter, Nitesh V. Chaw...
In recent models of decision-making, cognitive scientists have examined the relationship between option generation and successful performance. These models suggest that those who a...
Paul Ward, Joel Suss, David W. Eccles, A. Mark Wil...
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...