Dependable distributed systems are difficult to build. This is particularly true if they have dependability requirements that change during the execution of an application, and are...
Michel Cukier, Jennifer Ren, Chetan Sabnis, David ...
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...
In the past, a priori interconnect prediction, based on Rent’s rule, has been applied mainly for technology evaluation and roadmap applications. These applications do not requir...
Fast and accurate estimation is critical for exploration of any dece in general. As we move to higher levels of abstraction, on of complete system designs at each level of abstrac...
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...