Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
—As transistor feature sizes continue to shrink into the sub-90nm range and beyond, the effects of process variations on critical path delay and chip yields have amplified. A com...
Since privacy information can be inferred via social relations, the privacy confidentiality problem becomes increasingly challenging as online social network services are more popu...
Autonomic computing is gradually becoming accepted as a viable approach to achieving self-management in systems and networks, with the goal of lessening the impact of the complexit...
Bridget Meehan, Girijesh Prasad, T. Martin McGinni...
Chip multi-processors (CMP) are rapidly emerging as an important design paradigm for both high performance and embedded processors. These machines provide an important performance...
Alex Settle, Dan Connors, Enric Gibert, Antonio Go...