This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning...
The measurement of the 3-D "average propagator", P(r), from diffusion-weighted (DW) NMR or MRI data has been a "holy grail" in materials science and biomedicin...
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Several recent papers have proposed or analyzed optimal algorithms to route all-to-all personalizedcommunication (AAPC) over communication networks such as meshes, hypercubes and ...
Significant advances have been achieved for realtime ray tracing recently, but realtime performance for complex scenes still requires large computational resources not yet availa...