We address the problem of efficient sampling of the diffusion space for the Diffusion Magnetic Resonance Imaging (dMRI) modality. While recent scanner improvements enable the acqui...
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
Multihoming is increasingly being employed by large enterprises and data centers as a mechanism to extract good performance from their provider connections. Today, multihomed end-...
Abstract. Computational storytelling systems have mainly focused on the construction and evaluation of textual discourse for communicating stories. Few intelligent camera systems h...
The prominent role of the memory hierarchy as one of the major bottlenecks in achieving good program performance has motivated the search for ways of capturing the memory performa...
Ricardo Portillo, Diana Villa, Patricia J. Teller,...