Sparse representation has found applications in numerous domains and recent developments have been focused on the convex relaxation of the 0-norm minimization for sparse coding (i...
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
There is a growing demand for network devices capable of examining the content of data packets in order to improve network security and provide application-specific services. Most...
Binary Decision Diagrams (BDDs) have recently become widely accepted as a space-efficient method of representing relations in points-to analyses. When BDDs are used to represent re...
Out-of-memory errors are a serious source of unreliability in most embedded systems [22]. Applications run out of main memory because of the frequent difficulty of estimating the ...