Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Reliability-aware power management (RAPM) schemes, which consider the negative effects of voltage scaling on system reliability, were recently studied to save energy while preserv...
Semiconductor transient faults (i.e. soft errors) have become an increasingly important threat to microprocessor reliability. Simultaneous multithreaded (SMT) architectures exploi...
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...