Heat removal and power delivery have become two major reliability concerns in 3D stacked IC technology. For thermal problem, two possible solutions exist: thermal-through-silicon-...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
From the 1990s on, one of the most important challenges facing computer science researchers has been the design and construction of software tools to exploit Internet computing. A...
A major difficulty of heterogeneous process migration is how to collect advanced dynamic data-structures, transform them into machine independent form, and restor them appropriate...
Tracking interacting human body parts from a single two-dimensional view is difficult due to occlusion, ambiguity and spatio-temporal discontinuities. We present a Bayesian networ...