To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
Existing methods for prediction in spatio-temporal databases assume that objects move according to linear functions. This severely limits their applicability, since in practice mo...
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Abstract. Mathematical programs (MPs) are a class of constrained optimization problems that include linear, mixed-integer, and disjunctive programs. Strategies for solving MPs rely...
Ashish Agarwal, Sooraj Bhat, Alexander Gray, Ignac...
NBTI (Negative Bias Temperature Instability) has emerged as the dominant failure mechanism for PMOS in nanometer IC designs. However, its impact on one of the most important compo...