Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
For the purpose of exploring and modelling the relationships between a dataset and several datasets, multiblock Partial Least Squares is a widely-used regression technique. It is d...
Optimization of hardware resources for conditional data-flow graph behavior is particularly important when conditional behavior occurs in cyclic loops and maximization of through...
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
In this paper, we present a technique for determining tight bounds on the execution time of assembler programs. Thus, our method is independent of the design flow, but takes into...