Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
The Robot Intelligence Kernel (RIK) is a portable, reconfigurable suite of perceptual, behavioral, and cognitive capabilities that can be used across many different platforms, env...
David J. Bruemmer, Douglas A. Few, Miles C. Walton...
Multiple view 3D video reconstruction of actor performance
captures a level-of-detail for body and clothing
movement which is time-consuming to produce using existing
animation ...
Peng Huang (University of Surrey), Adrian Hilton (...
In real-life temporal scenarios, uncertainty and preferences are often essential, coexisting aspects. We present a formalism where temporal constraints with both preferences and un...
Francesca Rossi, Kristen Brent Venable, Neil Yorke...
The Standard Template Adaptive Parallel Library (stapl) is a parallel programming framework that extends C++ and stl with support for parallelism. stapl provides a collection of pa...
Gabriel Tanase, Chidambareswaran Raman, Mauro Bian...