We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
Much progress has been made in the design of efficient acquisition trajectories for high spatial and temporal resolution in magnetic resonance imaging (MRI). Additionally, signifi...
Xiao-Long Wu, Jiading Gai, Fan Lam, Maojing Fu, Ju...
This paper extends prior work using Compositional Pattern Producing Networks (CPPNs) as a generative encoding for the purpose of simultaneously evolving robot morphology and contr...
We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of kno...
—We address the problem of registering a set of 2D laser scans in 3D space with regard to six degrees of freedom. Registering single 2D scans is only possible when making strong ...
Benjamin Huhle, Timo Schairer, Andreas Schilling, ...