We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
: This paper introduces the notion of primary image segmentation which serves as a well defined link between low- and high-level image analysis. A general algorithmic framework bas...
We present a flow-sensitive interprocedural constant propagation algorithm, which sttpports recursion while only performing one flow-sensitive analysis of each procedure. We prese...
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
The performance of computer systems depends, among other things, on the workload. This motivates the use of real workloads (as recorded in activity logs) to drive simulations of n...