In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
— Biomolecular simulations play a key role in the study of complex biological processes at microscopic levels in which macromolecules such as proteins are involved. The simulatio...
Yudong Sun, Steve McKeever, Kia Balali-Mood, Mark ...
Biometric authentication based on human physical traits has recently been heavily studied; these biometric sources include face, hand geometry, voice, fingerprint, iris, retina, et...
Vit Niennattrakul, Dachawut Wanichsan, Chotirat An...
With advances in technology, a dynamic real world scene can be captured, represented, and streamed for realistic interaction in 3D using multiple digital cameras and computers. Ho...
— The nature of Grid and distributed computing implies communication between heterogeneous systems over a wide and ever-changing variety of network environments. Often large amou...
John Bresnahan, Rajkumar Kettimuthu, Ian T. Foster